Overview

Dataset statistics

Number of variables31
Number of observations59946
Missing cells273202
Missing cells (%)14.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.2 MiB
Average record size in memory248.0 B

Variable types

Numeric3
Categorical14
Text14

Alerts

height is highly overall correlated with sexHigh correlation
sex is highly overall correlated with heightHigh correlation
drugs is highly imbalanced (54.2%)Imbalance
orientation is highly imbalanced (55.2%)Imbalance
smokes is highly imbalanced (53.5%)Imbalance
status is highly imbalanced (80.1%)Imbalance
body_type has 5296 (8.8%) missing valuesMissing
diet has 24395 (40.7%) missing valuesMissing
drinks has 2985 (5.0%) missing valuesMissing
drugs has 14080 (23.5%) missing valuesMissing
education has 6628 (11.1%) missing valuesMissing
essay0 has 5488 (9.2%) missing valuesMissing
essay1 has 7572 (12.6%) missing valuesMissing
essay2 has 9638 (16.1%) missing valuesMissing
essay3 has 11476 (19.1%) missing valuesMissing
essay4 has 10537 (17.6%) missing valuesMissing
essay5 has 10850 (18.1%) missing valuesMissing
essay6 has 13771 (23.0%) missing valuesMissing
essay7 has 12451 (20.8%) missing valuesMissing
essay8 has 19225 (32.1%) missing valuesMissing
essay9 has 12603 (21.0%) missing valuesMissing
ethnicity has 5680 (9.5%) missing valuesMissing
job has 8198 (13.7%) missing valuesMissing
offspring has 35561 (59.3%) missing valuesMissing
pets has 19921 (33.2%) missing valuesMissing
religion has 20226 (33.7%) missing valuesMissing
sign has 11056 (18.4%) missing valuesMissing
smokes has 5512 (9.2%) missing valuesMissing

Reproduction

Analysis started2023-09-25 00:32:56.471941
Analysis finished2023-09-25 00:33:50.017102
Duration53.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

age
Real number (ℝ)

Distinct54
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.34029
Minimum18
Maximum110
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size468.5 KiB
2023-09-25T02:33:50.225134image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile21
Q126
median30
Q337
95-th percentile52
Maximum110
Range92
Interquartile range (IQR)11

Descriptive statistics

Standard deviation9.4527791
Coefficient of variation (CV)0.29229111
Kurtosis1.5725178
Mean32.34029
Median Absolute Deviation (MAD)5
Skewness1.2657731
Sum1938671
Variance89.355033
MonotonicityNot monotonic
2023-09-25T02:33:50.622100image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26 3724
 
6.2%
27 3685
 
6.1%
28 3583
 
6.0%
25 3531
 
5.9%
29 3295
 
5.5%
24 3242
 
5.4%
30 3149
 
5.3%
31 2735
 
4.6%
23 2592
 
4.3%
32 2587
 
4.3%
Other values (44) 27823
46.4%
ValueCountFrequency (%)
18 309
 
0.5%
19 611
 
1.0%
20 953
 
1.6%
21 1282
 
2.1%
22 1934
3.2%
23 2592
4.3%
24 3242
5.4%
25 3531
5.9%
26 3724
6.2%
27 3685
6.1%
ValueCountFrequency (%)
110 1
 
< 0.1%
109 1
 
< 0.1%
69 31
 
0.1%
68 59
 
0.1%
67 66
 
0.1%
66 105
0.2%
65 109
0.2%
64 113
0.2%
63 138
0.2%
62 167
0.3%

body_type
Categorical

MISSING 

Distinct12
Distinct (%)< 0.1%
Missing5296
Missing (%)8.8%
Memory size468.5 KiB
average
14652 
fit
12711 
athletic
11819 
thin
4711 
curvy
3924 
Other values (7)
6833 

Length

Max length14
Median length12
Mean length6.322269
Min length3

Characters and Unicode

Total characters345512
Distinct characters23
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowa little extra
2nd rowaverage
3rd rowthin
4th rowthin
5th rowathletic

Common Values

ValueCountFrequency (%)
average 14652
24.4%
fit 12711
21.2%
athletic 11819
19.7%
thin 4711
 
7.9%
curvy 3924
 
6.5%
a little extra 2629
 
4.4%
skinny 1777
 
3.0%
full figured 1009
 
1.7%
overweight 444
 
0.7%
jacked 421
 
0.7%
Other values (2) 553
 
0.9%
(Missing) 5296
 
8.8%

Length

2023-09-25T02:33:50.927133image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
average 14652
23.8%
fit 12711
20.6%
athletic 11819
19.2%
thin 4711
 
7.6%
curvy 3924
 
6.4%
a 2629
 
4.3%
little 2629
 
4.3%
extra 2629
 
4.3%
skinny 1777
 
2.9%
figured 1009
 
1.6%
Other values (8) 3178
 
5.2%

Most occurring characters

ValueCountFrequency (%)
t 49787
14.4%
e 49252
14.3%
a 47198
13.7%
i 35100
10.2%
r 23054
6.7%
l 19095
 
5.5%
v 19020
 
5.5%
h 17172
 
5.0%
c 16164
 
4.7%
g 16105
 
4.7%
Other values (13) 53565
15.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 338494
98.0%
Space Separator 7018
 
2.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 49787
14.7%
e 49252
14.6%
a 47198
13.9%
i 35100
10.4%
r 23054
6.8%
l 19095
 
5.6%
v 19020
 
5.6%
h 17172
 
5.1%
c 16164
 
4.8%
g 16105
 
4.8%
Other values (12) 46547
13.8%
Space Separator
ValueCountFrequency (%)
7018
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 338494
98.0%
Common 7018
 
2.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 49787
14.7%
e 49252
14.6%
a 47198
13.9%
i 35100
10.4%
r 23054
6.8%
l 19095
 
5.6%
v 19020
 
5.6%
h 17172
 
5.1%
c 16164
 
4.8%
g 16105
 
4.8%
Other values (12) 46547
13.8%
Common
ValueCountFrequency (%)
7018
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 345512
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 49787
14.4%
e 49252
14.3%
a 47198
13.7%
i 35100
10.2%
r 23054
6.7%
l 19095
 
5.5%
v 19020
 
5.5%
h 17172
 
5.0%
c 16164
 
4.7%
g 16105
 
4.7%
Other values (13) 53565
15.5%

diet
Categorical

MISSING 

Distinct18
Distinct (%)0.1%
Missing24395
Missing (%)40.7%
Memory size468.5 KiB
mostly anything
16585 
anything
6183 
strictly anything
5113 
mostly vegetarian
3444 
mostly other
 
1007
Other values (13)
3219 

Length

Max length19
Median length17
Mean length13.989339
Min length5

Characters and Unicode

Total characters497335
Distinct characters17
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowstrictly anything
2nd rowmostly other
3rd rowanything
4th rowvegetarian
5th rowmostly anything

Common Values

ValueCountFrequency (%)
mostly anything 16585
27.7%
anything 6183
 
10.3%
strictly anything 5113
 
8.5%
mostly vegetarian 3444
 
5.7%
mostly other 1007
 
1.7%
strictly vegetarian 875
 
1.5%
vegetarian 667
 
1.1%
strictly other 452
 
0.8%
mostly vegan 338
 
0.6%
other 331
 
0.6%
Other values (8) 556
 
0.9%
(Missing) 24395
40.7%

Length

2023-09-25T02:33:51.102986image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
anything 27881
43.7%
mostly 21508
33.7%
strictly 6704
 
10.5%
vegetarian 4986
 
7.8%
other 1790
 
2.8%
vegan 702
 
1.1%
kosher 115
 
0.2%
halal 77
 
0.1%

Most occurring characters

ValueCountFrequency (%)
t 69573
14.0%
n 61450
12.4%
y 56093
11.3%
i 39571
8.0%
a 38709
7.8%
g 33569
6.7%
h 29863
 
6.0%
l 28366
 
5.7%
s 28327
 
5.7%
28212
 
5.7%
Other values (7) 83602
16.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 469123
94.3%
Space Separator 28212
 
5.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 69573
14.8%
n 61450
13.1%
y 56093
12.0%
i 39571
8.4%
a 38709
8.3%
g 33569
7.2%
h 29863
6.4%
l 28366
6.0%
s 28327
6.0%
o 23413
 
5.0%
Other values (6) 60189
12.8%
Space Separator
ValueCountFrequency (%)
28212
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 469123
94.3%
Common 28212
 
5.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 69573
14.8%
n 61450
13.1%
y 56093
12.0%
i 39571
8.4%
a 38709
8.3%
g 33569
7.2%
h 29863
6.4%
l 28366
6.0%
s 28327
6.0%
o 23413
 
5.0%
Other values (6) 60189
12.8%
Common
ValueCountFrequency (%)
28212
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 497335
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 69573
14.0%
n 61450
12.4%
y 56093
11.3%
i 39571
8.0%
a 38709
7.8%
g 33569
6.7%
h 29863
 
6.0%
l 28366
 
5.7%
s 28327
 
5.7%
28212
 
5.7%
Other values (7) 83602
16.8%

drinks
Categorical

MISSING 

Distinct6
Distinct (%)< 0.1%
Missing2985
Missing (%)5.0%
Memory size468.5 KiB
socially
41780 
rarely
5957 
often
5164 
not at all
 
3267
very often
 
471

Length

Max length11
Median length8
Mean length7.6670705
Min length5

Characters and Unicode

Total characters436724
Distinct characters16
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowsocially
2nd rowoften
3rd rowsocially
4th rowsocially
5th rowsocially

Common Values

ValueCountFrequency (%)
socially 41780
69.7%
rarely 5957
 
9.9%
often 5164
 
8.6%
not at all 3267
 
5.4%
very often 471
 
0.8%
desperately 322
 
0.5%
(Missing) 2985
 
5.0%

Length

2023-09-25T02:33:51.242388image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-25T02:33:51.612235image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
socially 41780
65.3%
rarely 5957
 
9.3%
often 5635
 
8.8%
not 3267
 
5.1%
at 3267
 
5.1%
all 3267
 
5.1%
very 471
 
0.7%
desperately 322
 
0.5%

Most occurring characters

ValueCountFrequency (%)
l 96373
22.1%
a 54593
12.5%
o 50682
11.6%
y 48530
11.1%
s 42102
9.6%
c 41780
9.6%
i 41780
9.6%
e 13029
 
3.0%
r 12707
 
2.9%
t 12491
 
2.9%
Other values (6) 22657
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 429719
98.4%
Space Separator 7005
 
1.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 96373
22.4%
a 54593
12.7%
o 50682
11.8%
y 48530
11.3%
s 42102
9.8%
c 41780
9.7%
i 41780
9.7%
e 13029
 
3.0%
r 12707
 
3.0%
t 12491
 
2.9%
Other values (5) 15652
 
3.6%
Space Separator
ValueCountFrequency (%)
7005
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 429719
98.4%
Common 7005
 
1.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 96373
22.4%
a 54593
12.7%
o 50682
11.8%
y 48530
11.3%
s 42102
9.8%
c 41780
9.7%
i 41780
9.7%
e 13029
 
3.0%
r 12707
 
3.0%
t 12491
 
2.9%
Other values (5) 15652
 
3.6%
Common
ValueCountFrequency (%)
7005
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 436724
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 96373
22.1%
a 54593
12.5%
o 50682
11.6%
y 48530
11.1%
s 42102
9.6%
c 41780
9.6%
i 41780
9.6%
e 13029
 
3.0%
r 12707
 
2.9%
t 12491
 
2.9%
Other values (6) 22657
 
5.2%

drugs
Categorical

IMBALANCE  MISSING 

Distinct3
Distinct (%)< 0.1%
Missing14080
Missing (%)23.5%
Memory size468.5 KiB
never
37724 
sometimes
7732 
often
 
410

Length

Max length9
Median length5
Mean length5.6743121
Min length5

Characters and Unicode

Total characters260258
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rownever
2nd rowsometimes
3rd rownever
4th rownever
5th rownever

Common Values

ValueCountFrequency (%)
never 37724
62.9%
sometimes 7732
 
12.9%
often 410
 
0.7%
(Missing) 14080
 
23.5%

Length

2023-09-25T02:33:51.936108image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-25T02:33:52.262309image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
never 37724
82.2%
sometimes 7732
 
16.9%
often 410
 
0.9%

Most occurring characters

ValueCountFrequency (%)
e 91322
35.1%
n 38134
14.7%
v 37724
14.5%
r 37724
14.5%
s 15464
 
5.9%
m 15464
 
5.9%
o 8142
 
3.1%
t 8142
 
3.1%
i 7732
 
3.0%
f 410
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 260258
100.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 91322
35.1%
n 38134
14.7%
v 37724
14.5%
r 37724
14.5%
s 15464
 
5.9%
m 15464
 
5.9%
o 8142
 
3.1%
t 8142
 
3.1%
i 7732
 
3.0%
f 410
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Latin 260258
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 91322
35.1%
n 38134
14.7%
v 37724
14.5%
r 37724
14.5%
s 15464
 
5.9%
m 15464
 
5.9%
o 8142
 
3.1%
t 8142
 
3.1%
i 7732
 
3.0%
f 410
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 260258
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 91322
35.1%
n 38134
14.7%
v 37724
14.5%
r 37724
14.5%
s 15464
 
5.9%
m 15464
 
5.9%
o 8142
 
3.1%
t 8142
 
3.1%
i 7732
 
3.0%
f 410
 
0.2%

education
Categorical

MISSING 

Distinct32
Distinct (%)0.1%
Missing6628
Missing (%)11.1%
Memory size468.5 KiB
graduated from college/university
23959 
graduated from masters program
8961 
working on college/university
5712 
working on masters program
 
1683
graduated from two-year college
 
1531
Other values (27)
11472 

Length

Max length33
Median length31
Mean length30.037286
Min length10

Characters and Unicode

Total characters1601528
Distinct characters25
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowworking on college/university
2nd rowworking on space camp
3rd rowgraduated from masters program
4th rowworking on college/university
5th rowgraduated from college/university

Common Values

ValueCountFrequency (%)
graduated from college/university 23959
40.0%
graduated from masters program 8961
 
14.9%
working on college/university 5712
 
9.5%
working on masters program 1683
 
2.8%
graduated from two-year college 1531
 
2.6%
graduated from high school 1428
 
2.4%
graduated from ph.d program 1272
 
2.1%
graduated from law school 1122
 
1.9%
working on two-year college 1074
 
1.8%
dropped out of college/university 995
 
1.7%
Other values (22) 5581
 
9.3%
(Missing) 6628
 
11.1%

Length

2023-09-25T02:33:52.572596image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
graduated 39376
21.7%
from 39376
21.7%
college/university 31467
17.4%
program 13328
 
7.4%
masters 10920
 
6.0%
working 10465
 
5.8%
on 10465
 
5.8%
school 3822
 
2.1%
two-year 3018
 
1.7%
college 3018
 
1.7%
Other values (9) 15920
8.8%

Most occurring characters

ValueCountFrequency (%)
r 163386
 
10.2%
e 158223
 
9.9%
127857
 
8.0%
o 125105
 
7.8%
a 110812
 
6.9%
g 99367
 
6.2%
t 86889
 
5.4%
d 86057
 
5.4%
i 75112
 
4.7%
l 74220
 
4.6%
Other values (15) 494500
30.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1436778
89.7%
Space Separator 127857
 
8.0%
Other Punctuation 33875
 
2.1%
Dash Punctuation 3018
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r 163386
11.4%
e 158223
11.0%
o 125105
 
8.7%
a 110812
 
7.7%
g 99367
 
6.9%
t 86889
 
6.0%
d 86057
 
6.0%
i 75112
 
5.2%
l 74220
 
5.2%
u 72951
 
5.1%
Other values (11) 384656
26.8%
Other Punctuation
ValueCountFrequency (%)
/ 31467
92.9%
. 2408
 
7.1%
Space Separator
ValueCountFrequency (%)
127857
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3018
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1436778
89.7%
Common 164750
 
10.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
r 163386
11.4%
e 158223
11.0%
o 125105
 
8.7%
a 110812
 
7.7%
g 99367
 
6.9%
t 86889
 
6.0%
d 86057
 
6.0%
i 75112
 
5.2%
l 74220
 
5.2%
u 72951
 
5.1%
Other values (11) 384656
26.8%
Common
ValueCountFrequency (%)
127857
77.6%
/ 31467
 
19.1%
- 3018
 
1.8%
. 2408
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1601528
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r 163386
 
10.2%
e 158223
 
9.9%
127857
 
8.0%
o 125105
 
7.8%
a 110812
 
6.9%
g 99367
 
6.2%
t 86889
 
5.4%
d 86057
 
5.4%
i 75112
 
4.7%
l 74220
 
4.6%
Other values (15) 494500
30.9%

essay0
Text

MISSING 

Distinct54350
Distinct (%)99.8%
Missing5488
Missing (%)9.2%
Memory size468.5 KiB
2023-09-25T02:33:53.572483image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length48854
Median length3354
Mean length678.97723
Min length1

Characters and Unicode

Total characters36975742
Distinct characters70
Distinct categories12 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54291 ?
Unique (%)99.7%

Sample

1st rowabout me:<br /> <br /> i would love to think that i was some some kind of intellectual: either the dumbest smart guy, or the smartest dumb guy. can't say i can tell the difference. i love to talk about ideas and concepts. i forge odd metaphors instead of reciting cliches. like the simularities between a friend of mine's house and an underwater salt mine. my favorite word is salt by the way (weird choice i know). to me most things in life are better as metaphors. i seek to make myself a little better everyday, in some productively lazy way. got tired of tying my shoes. considered hiring a five year old, but would probably have to tie both of our shoes... decided to only wear leather shoes dress shoes.<br /> <br /> about you:<br /> <br /> you love to have really serious, really deep conversations about really silly stuff. you have to be willing to snap me out of a light hearted rant with a kiss. you don't have to be funny, but you have to be able to make me laugh. you should be able to bend spoons with your mind, and telepathically make me smile while i am still at work. you should love life, and be cool with just letting the wind blow. extra points for reading all this and guessing my favorite video game (no hints given yet). and lastly you have a good attention span.
2nd rowi am a chef: this is what that means.<br /> 1. i am a workaholic.<br /> 2. i love to cook regardless of whether i am at work.<br /> 3. i love to drink and eat foods that are probably really bad for me.<br /> 4. i love being around people that resemble line 1-3.<br /> i love the outdoors and i am an avid skier. if its snowing i will be in tahoe at the very least. i am a very confident and friendly. i'm not interested in acting or being a typical guy. i have no time or patience for rediculous acts of territorial pissing. overall i am a very likable easygoing individual. i am very adventurous and always looking forward to doing new things and hopefully sharing it with the right person.
3rd rowi'm not ashamed of much, but writing public text on an online dating site makes me pleasantly uncomfortable. i'll try to be as earnest as possible in the noble endeavor of standing naked before the world.<br /> <br /> i've lived in san francisco for 15 years, and both love it and find myself frustrated with its deficits. lots of great friends and acquaintances (which increases my apprehension to put anything on this site), but i'm feeling like meeting some new people that aren't just friends of friends. it's okay if you are a friend of a friend too. chances are, if you make it through the complex filtering process of multiple choice questions, lifestyle statistics, photo scanning, and these indulgent blurbs of text without moving quickly on to another search result, you are probably already a cultural peer and at most 2 people removed. at first, i thought i should say as little as possible here to avoid you, but that seems silly.<br /> <br /> as far as culture goes, i'm definitely more on the weird side of the spectrum, but i don't exactly wear it on my sleeve. once you get me talking, it will probably become increasingly apparent that while i'd like to think of myself as just like everybody else (and by some definition i certainly am), most people don't see me that way. that's fine with me. most of the people i find myself gravitating towards are pretty weird themselves. you probably are too.
4th rowi work in a library and go to school. . .
5th rowhey how's it going? currently vague on the profile i know, more to come soon. looking to meet new folks outside of my circle of friends. i'm pretty responsive on the reply tip, feel free to drop a line. cheers.
ValueCountFrequency (%)
i 318105
 
4.8%
and 252378
 
3.8%
235053
 
3.5%
a 214911
 
3.2%
to 207807
 
3.1%
the 164822
 
2.5%
in 110541
 
1.7%
of 101626
 
1.5%
my 90593
 
1.4%
br 84532
 
1.3%
Other values (149212) 4892030
73.3%
2023-09-25T02:33:54.724350image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5948703
16.1%
e 3060540
 
8.3%
i 2390068
 
6.5%
a 2353278
 
6.4%
t 2322587
 
6.3%
o 2194384
 
5.9%
n 2088473
 
5.6%
r 1669582
 
4.5%
s 1631105
 
4.4%
l 1295626
 
3.5%
Other values (60) 12021396
32.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 27961548
75.6%
Space Separator 5948703
 
16.1%
Other Punctuation 1585459
 
4.3%
Control 671374
 
1.8%
Math Symbol 584028
 
1.6%
Dash Punctuation 74715
 
0.2%
Decimal Number 67174
 
0.2%
Close Punctuation 41416
 
0.1%
Open Punctuation 34198
 
0.1%
Connector Punctuation 5700
 
< 0.1%
Other values (2) 1427
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 3060540
 
10.9%
i 2390068
 
8.5%
a 2353278
 
8.4%
t 2322587
 
8.3%
o 2194384
 
7.8%
n 2088473
 
7.5%
r 1669582
 
6.0%
s 1631105
 
5.8%
l 1295626
 
4.6%
h 1080062
 
3.9%
Other values (16) 7875843
28.2%
Other Punctuation
ValueCountFrequency (%)
. 489091
30.8%
, 414271
26.1%
/ 271449
17.1%
' 182121
 
11.5%
" 109459
 
6.9%
? 33204
 
2.1%
! 29118
 
1.8%
: 21016
 
1.3%
; 16418
 
1.0%
* 8273
 
0.5%
Other values (5) 11039
 
0.7%
Decimal Number
ValueCountFrequency (%)
0 13869
20.6%
2 11871
17.7%
1 11626
17.3%
3 6013
9.0%
5 5805
8.6%
4 4611
 
6.9%
9 3972
 
5.9%
6 3447
 
5.1%
8 3127
 
4.7%
7 2833
 
4.2%
Math Symbol
ValueCountFrequency (%)
< 253963
43.5%
> 253963
43.5%
= 64403
 
11.0%
+ 10758
 
1.8%
~ 875
 
0.1%
| 66
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 40569
98.0%
] 765
 
1.8%
} 82
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 33489
97.9%
[ 643
 
1.9%
{ 66
 
0.2%
Modifier Symbol
ValueCountFrequency (%)
^ 307
78.9%
` 82
 
21.1%
Space Separator
ValueCountFrequency (%)
5948703
100.0%
Control
ValueCountFrequency (%)
671374
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 74715
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5700
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 1038
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 27961548
75.6%
Common 9014194
 
24.4%

Most frequent character per script

Common
ValueCountFrequency (%)
5948703
66.0%
671374
 
7.4%
. 489091
 
5.4%
, 414271
 
4.6%
/ 271449
 
3.0%
< 253963
 
2.8%
> 253963
 
2.8%
' 182121
 
2.0%
" 109459
 
1.2%
- 74715
 
0.8%
Other values (34) 345085
 
3.8%
Latin
ValueCountFrequency (%)
e 3060540
 
10.9%
i 2390068
 
8.5%
a 2353278
 
8.4%
t 2322587
 
8.3%
o 2194384
 
7.8%
n 2088473
 
7.5%
r 1669582
 
6.0%
s 1631105
 
5.8%
l 1295626
 
4.6%
h 1080062
 
3.9%
Other values (16) 7875843
28.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 36975742
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5948703
16.1%
e 3060540
 
8.3%
i 2390068
 
6.5%
a 2353278
 
6.4%
t 2322587
 
6.3%
o 2194384
 
5.9%
n 2088473
 
5.6%
r 1669582
 
4.5%
s 1631105
 
4.4%
l 1295626
 
3.5%
Other values (60) 12021396
32.5%

essay1
Text

MISSING 

Distinct51516
Distinct (%)98.4%
Missing7572
Missing (%)12.6%
Memory size468.5 KiB
2023-09-25T02:33:55.485060image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length7955
Median length1992
Mean length269.34504
Min length1

Characters and Unicode

Total characters14106677
Distinct characters70
Distinct categories12 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51236 ?
Unique (%)97.8%

Sample

1st rowcurrently working as an international agent for a freight forwarding company. import, export, domestic you know the works.<br /> online classes and trying to better myself in my free time. perhaps a hours worth of a good book or a video game on a lazy sunday.
2nd rowdedicating everyday to being an unbelievable badass.
3rd rowi make nerdy software for musicians, artists, and experimenters to indulge in their own weirdness, but i like to spend time away from the computer when working on my artwork (which is typically more concerned with group dynamics and communication, than with visual form, objects, or technology). i also record and deejay dance, noise, pop, and experimental music (most of which electronic or at least studio based). besides these relatively ego driven activities, i've been enjoying things like meditation and tai chi to try and gently flirt with ego death.
4th rowreading things written by old dead people
5th rowwork work work work + play
ValueCountFrequency (%)
i 105770
 
4.2%
and 89963
 
3.6%
a 86325
 
3.4%
to 83797
 
3.3%
the 70995
 
2.8%
62666
 
2.5%
in 51974
 
2.1%
my 49843
 
2.0%
of 38534
 
1.5%
i'm 28825
 
1.1%
Other values (72596) 1841144
73.4%
2023-09-25T02:33:56.403086image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2235233
15.8%
e 1120460
 
7.9%
i 967940
 
6.9%
t 916205
 
6.5%
a 902325
 
6.4%
n 867599
 
6.2%
o 839337
 
5.9%
r 668788
 
4.7%
s 603933
 
4.3%
l 475987
 
3.4%
Other values (60) 4508870
32.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10886728
77.2%
Space Separator 2235233
 
15.8%
Other Punctuation 527236
 
3.7%
Control 222649
 
1.6%
Math Symbol 157000
 
1.1%
Decimal Number 24723
 
0.2%
Dash Punctuation 24185
 
0.2%
Close Punctuation 15135
 
0.1%
Open Punctuation 12672
 
0.1%
Connector Punctuation 762
 
< 0.1%
Other values (2) 354
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1120460
 
10.3%
i 967940
 
8.9%
t 916205
 
8.4%
a 902325
 
8.3%
n 867599
 
8.0%
o 839337
 
7.7%
r 668788
 
6.1%
s 603933
 
5.5%
l 475987
 
4.4%
h 399971
 
3.7%
Other values (16) 3124183
28.7%
Other Punctuation
ValueCountFrequency (%)
. 189629
36.0%
, 127983
24.3%
/ 76422
14.5%
' 60750
 
11.5%
" 32546
 
6.2%
! 12797
 
2.4%
? 10015
 
1.9%
: 7065
 
1.3%
; 5187
 
1.0%
& 2417
 
0.5%
Other values (5) 2425
 
0.5%
Decimal Number
ValueCountFrequency (%)
0 5481
22.2%
1 4482
18.1%
2 4460
18.0%
3 2235
9.0%
5 2145
 
8.7%
4 1625
 
6.6%
9 1235
 
5.0%
6 1097
 
4.4%
8 1047
 
4.2%
7 916
 
3.7%
Math Symbol
ValueCountFrequency (%)
> 67187
42.8%
< 67187
42.8%
= 19450
 
12.4%
+ 2870
 
1.8%
~ 265
 
0.2%
| 41
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 14875
98.3%
] 233
 
1.5%
} 27
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 12447
98.2%
[ 204
 
1.6%
{ 21
 
0.2%
Modifier Symbol
ValueCountFrequency (%)
^ 102
85.7%
` 17
 
14.3%
Space Separator
ValueCountFrequency (%)
2235233
100.0%
Control
ValueCountFrequency (%)
222649
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24185
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 762
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 235
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10886728
77.2%
Common 3219949
 
22.8%

Most frequent character per script

Common
ValueCountFrequency (%)
2235233
69.4%
222649
 
6.9%
. 189629
 
5.9%
, 127983
 
4.0%
/ 76422
 
2.4%
> 67187
 
2.1%
< 67187
 
2.1%
' 60750
 
1.9%
" 32546
 
1.0%
- 24185
 
0.8%
Other values (34) 116178
 
3.6%
Latin
ValueCountFrequency (%)
e 1120460
 
10.3%
i 967940
 
8.9%
t 916205
 
8.4%
a 902325
 
8.3%
n 867599
 
8.0%
o 839337
 
7.7%
r 668788
 
6.1%
s 603933
 
5.5%
l 475987
 
4.4%
h 399971
 
3.7%
Other values (16) 3124183
28.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14106677
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2235233
15.8%
e 1120460
 
7.9%
i 967940
 
6.9%
t 916205
 
6.5%
a 902325
 
6.4%
n 867599
 
6.2%
o 839337
 
5.9%
r 668788
 
4.7%
s 603933
 
4.3%
l 475987
 
3.4%
Other values (60) 4508870
32.0%

essay2
Text

MISSING 

Distinct48635
Distinct (%)96.7%
Missing9638
Missing (%)16.1%
Memory size468.5 KiB
2023-09-25T02:33:57.167236image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length6129
Median length1485
Mean length173.51608
Min length1

Characters and Unicode

Total characters8729247
Distinct characters70
Distinct categories12 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48140 ?
Unique (%)95.7%

Sample

1st rowmaking people laugh.<br /> ranting about a good salting.<br /> finding simplicity in complexity, and complexity in simplicity.
2nd rowbeing silly. having ridiculous amonts of fun wherever. being a smart ass. ohh and i can cook. ;)
3rd rowimprovising in different contexts. alternating between being present and decidedly outside of a moment, or trying to hold both at once. rambling intellectual conversations that hold said conversations in contempt while seeking to find something that transcends them. being critical while remaining generous. listening to and using body language--often performed in caricature or large gestures, if not outright interpretive dance. dry, dark, and raunchy humor.
4th rowplaying synthesizers and organizing books according to the library of congress classification system
5th rowcreating imagery to look at:<br /> http://bagsbrown.blogspot.com/<br /> http://stayruly.blogspot.com/
ValueCountFrequency (%)
70107
 
4.9%
and 47183
 
3.3%
i 45140
 
3.2%
a 39790
 
2.8%
to 30149
 
2.1%
the 28493
 
2.0%
at 19612
 
1.4%
of 19194
 
1.3%
my 19166
 
1.3%
good 18952
 
1.3%
Other values (60630) 1090318
76.3%
2023-09-25T02:33:58.167769image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1234476
14.1%
e 646042
 
7.4%
i 637870
 
7.3%
n 587824
 
6.7%
a 535247
 
6.1%
t 530389
 
6.1%
o 483611
 
5.5%
s 388235
 
4.4%
r 380702
 
4.4%
g 326500
 
3.7%
Other values (60) 2978351
34.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6705076
76.8%
Space Separator 1234476
 
14.1%
Other Punctuation 426736
 
4.9%
Math Symbol 162196
 
1.9%
Control 143906
 
1.6%
Dash Punctuation 20288
 
0.2%
Close Punctuation 14045
 
0.2%
Open Punctuation 11201
 
0.1%
Decimal Number 10594
 
0.1%
Connector Punctuation 527
 
< 0.1%
Other values (2) 202
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 646042
 
9.6%
i 637870
 
9.5%
n 587824
 
8.8%
a 535247
 
8.0%
t 530389
 
7.9%
o 483611
 
7.2%
s 388235
 
5.8%
r 380702
 
5.7%
g 326500
 
4.9%
l 304982
 
4.5%
Other values (16) 1883674
28.1%
Other Punctuation
ValueCountFrequency (%)
. 145233
34.0%
, 111947
26.2%
/ 75441
17.7%
' 34985
 
8.2%
" 27478
 
6.4%
? 8215
 
1.9%
! 8017
 
1.9%
; 5724
 
1.3%
: 4877
 
1.1%
& 2085
 
0.5%
Other values (5) 2734
 
0.6%
Decimal Number
ValueCountFrequency (%)
0 2216
20.9%
1 1733
16.4%
2 1644
15.5%
3 1149
10.8%
5 891
8.4%
4 788
 
7.4%
6 594
 
5.6%
8 577
 
5.4%
9 541
 
5.1%
7 461
 
4.4%
Math Symbol
ValueCountFrequency (%)
< 71067
43.8%
> 71067
43.8%
= 17324
 
10.7%
+ 2430
 
1.5%
~ 279
 
0.2%
| 29
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 13803
98.3%
] 212
 
1.5%
} 30
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 11006
98.3%
[ 176
 
1.6%
{ 19
 
0.2%
Modifier Symbol
ValueCountFrequency (%)
^ 92
87.6%
` 13
 
12.4%
Space Separator
ValueCountFrequency (%)
1234476
100.0%
Control
ValueCountFrequency (%)
143906
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20288
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 527
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 97
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6705076
76.8%
Common 2024171
 
23.2%

Most frequent character per script

Common
ValueCountFrequency (%)
1234476
61.0%
. 145233
 
7.2%
143906
 
7.1%
, 111947
 
5.5%
/ 75441
 
3.7%
< 71067
 
3.5%
> 71067
 
3.5%
' 34985
 
1.7%
" 27478
 
1.4%
- 20288
 
1.0%
Other values (34) 88283
 
4.4%
Latin
ValueCountFrequency (%)
e 646042
 
9.6%
i 637870
 
9.5%
n 587824
 
8.8%
a 535247
 
8.0%
t 530389
 
7.9%
o 483611
 
7.2%
s 388235
 
5.8%
r 380702
 
5.7%
g 326500
 
4.9%
l 304982
 
4.5%
Other values (16) 1883674
28.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8729247
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1234476
14.1%
e 646042
 
7.4%
i 637870
 
7.3%
n 587824
 
6.7%
a 535247
 
6.1%
t 530389
 
6.1%
o 483611
 
5.5%
s 388235
 
4.4%
r 380702
 
4.4%
g 326500
 
3.7%
Other values (60) 2978351
34.1%

essay3
Text

MISSING 

Distinct43533
Distinct (%)89.8%
Missing11476
Missing (%)19.1%
Memory size468.5 KiB
2023-09-25T02:33:59.085765image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length4374
Median length1239
Mean length91.146028
Min length1

Characters and Unicode

Total characters4417848
Distinct characters70
Distinct categories12 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42624 ?
Unique (%)87.9%

Sample

1st rowthe way i look. i am a six foot half asian, half caucasian mutt. it makes it tough not to notice me, and for me to blend in.
2nd rowmy large jaw and large glasses are the physical things people comment on the most. when sufficiently stimulated, i have an unmistakable cackle of a laugh. after that, it goes in more directions than i care to describe right now. maybe i'll come back to this.
3rd rowsocially awkward but i do my best
4th rowi smile a lot and my inquisitive nature
5th rowi have a big smile. i also get asked if i'm wearing blue-coloured contacts (no).
ValueCountFrequency (%)
my 45881
 
5.5%
i 40785
 
4.9%
and 25480
 
3.1%
21872
 
2.6%
a 20504
 
2.5%
to 16122
 
1.9%
that 15465
 
1.9%
the 15319
 
1.8%
i'm 14315
 
1.7%
of 11276
 
1.4%
Other values (33044) 602635
72.6%
2023-09-25T02:34:00.102535image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
726649
16.4%
e 388064
 
8.8%
t 286641
 
6.5%
a 270161
 
6.1%
i 265545
 
6.0%
o 245249
 
5.6%
n 212342
 
4.8%
s 208801
 
4.7%
l 175280
 
4.0%
r 169551
 
3.8%
Other values (60) 1469565
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3353139
75.9%
Space Separator 726649
 
16.4%
Other Punctuation 217172
 
4.9%
Control 54638
 
1.2%
Math Symbol 40453
 
0.9%
Dash Punctuation 7937
 
0.2%
Close Punctuation 7207
 
0.2%
Decimal Number 5543
 
0.1%
Open Punctuation 4573
 
0.1%
Connector Punctuation 316
 
< 0.1%
Other values (2) 221
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 388064
 
11.6%
t 286641
 
8.5%
a 270161
 
8.1%
i 265545
 
7.9%
o 245249
 
7.3%
n 212342
 
6.3%
s 208801
 
6.2%
l 175280
 
5.2%
r 169551
 
5.1%
m 153196
 
4.6%
Other values (16) 978309
29.2%
Other Punctuation
ValueCountFrequency (%)
. 93469
43.0%
, 39819
18.3%
' 33274
 
15.3%
/ 19987
 
9.2%
" 10512
 
4.8%
? 6683
 
3.1%
! 5646
 
2.6%
: 3905
 
1.8%
; 2257
 
1.0%
& 714
 
0.3%
Other values (5) 906
 
0.4%
Decimal Number
ValueCountFrequency (%)
1 1018
18.4%
0 929
16.8%
2 774
14.0%
5 707
12.8%
6 622
11.2%
3 524
9.5%
4 357
 
6.4%
9 255
 
4.6%
8 183
 
3.3%
7 174
 
3.1%
Math Symbol
ValueCountFrequency (%)
> 18461
45.6%
< 18461
45.6%
= 2658
 
6.6%
+ 495
 
1.2%
~ 270
 
0.7%
| 108
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 7086
98.3%
] 109
 
1.5%
} 12
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 4485
98.1%
[ 81
 
1.8%
{ 7
 
0.2%
Modifier Symbol
ValueCountFrequency (%)
^ 173
95.1%
` 9
 
4.9%
Space Separator
ValueCountFrequency (%)
726649
100.0%
Control
ValueCountFrequency (%)
54638
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7937
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 316
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3353139
75.9%
Common 1064709
 
24.1%

Most frequent character per script

Common
ValueCountFrequency (%)
726649
68.2%
. 93469
 
8.8%
54638
 
5.1%
, 39819
 
3.7%
' 33274
 
3.1%
/ 19987
 
1.9%
> 18461
 
1.7%
< 18461
 
1.7%
" 10512
 
1.0%
- 7937
 
0.7%
Other values (34) 41502
 
3.9%
Latin
ValueCountFrequency (%)
e 388064
 
11.6%
t 286641
 
8.5%
a 270161
 
8.1%
i 265545
 
7.9%
o 245249
 
7.3%
n 212342
 
6.3%
s 208801
 
6.2%
l 175280
 
5.2%
r 169551
 
5.1%
m 153196
 
4.6%
Other values (16) 978309
29.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4417848
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
726649
16.4%
e 388064
 
8.8%
t 286641
 
6.5%
a 270161
 
6.1%
i 265545
 
6.0%
o 245249
 
5.6%
n 212342
 
4.8%
s 208801
 
4.7%
l 175280
 
4.0%
r 169551
 
3.8%
Other values (60) 1469565
33.3%

essay4
Text

MISSING 

Distinct49260
Distinct (%)99.7%
Missing10537
Missing (%)17.6%
Memory size468.5 KiB
2023-09-25T02:34:01.124950image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length44469
Median length3697
Mean length683.12712
Min length1

Characters and Unicode

Total characters33752628
Distinct characters71
Distinct categories12 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49191 ?
Unique (%)99.6%

Sample

1st rowbooks:<br /> absurdistan, the republic, of mice and men (only book that made me want to cry), catcher in the rye, the prince.<br /> <br /> movies:<br /> gladiator, operation valkyrie, the producers, down periscope.<br /> <br /> shows:<br /> the borgia, arrested development, game of thrones, monty python<br /> <br /> music:<br /> aesop rock, hail mary mallon, george thorogood and the delaware destroyers, felt<br /> <br /> food:<br /> i'm down for anything.
2nd rowi am die hard christopher moore fan. i don't really watch a lot of tv unless there is humor involved. i am kind of stuck on 90's alternative music. i am pretty much a fan of everything though... i do need to draw a line at most types of electronica.
3rd rowokay this is where the cultural matrix gets so specific, it's like being in the crosshairs.<br /> <br /> for what it's worth, i find myself reading more non-fiction than fiction. it's usually some kind of philosophy, art, or science text by silly authors such as ranciere, de certeau, bataille, baudrillard, butler, stein, arendt, nietzche, zizek, etc. i'll often throw in some weird new age or pop-psychology book in the mix as well. as for fiction, i enjoy what little i've read of eco, perec, wallace, bolao, dick, vonnegut, atwood, delilo, etc. when i was young, i was a rabid asimov reader.<br /> <br /> directors i find myself drawn to are makavejev, kuchar, jodorowsky, herzog, hara, klein, waters, verhoeven, ackerman, hitchcock, lang, gorin, goddard, miike, ohbayashi, tarkovsky, sokurov, warhol, etc. but i also like a good amount of "trashy" stuff. too much to name.<br /> <br /> i definitely enjoy the character development that happens in long form episodic television over the course of 10-100 episodes, which a 1-2hr movie usually can't compete with. some of my recent tv favorites are: breaking bad, the wire, dexter, true blood, the prisoner, lost, fringe.<br /> <br /> a smattered sampling of the vast field of music i like and deejay: art ensemble, sun ra, evan parker, lil wayne, dj funk, mr. fingers, maurizio, rob hood, dan bell, james blake, nonesuch recordings, omar souleyman, ethiopiques, fela kuti, john cage, meredith monk, robert ashley, terry riley, yoko ono, merzbow, tom tom club, jit, juke, bounce, hyphy, snap, crunk, b'more, kuduro, pop, noise, jazz, techno, house, acid, new/no wave, (post)punk, etc.<br /> <br /> a few of the famous art/dance/theater folk that might locate my sensibility: andy warhol, bruce nauman, yayoi kusama, louise bourgeois, tino sehgal, george kuchar, michel duchamp, marina abramovic, gelatin, carolee schneeman, gustav metzger, mike kelly, mike smith, andrea fraser, gordon matta-clark, jerzy grotowski, samuel beckett, antonin artaud, tadeusz kantor, anna halperin, merce cunningham, etc. i'm clearly leaving out a younger generation of contemporary artists, many of whom are friends.<br /> <br /> local food regulars: sushi zone, chow, ppq, pagolac, lers ros, burma superstar, minako, shalimar, delfina pizza, rosamunde, arinells, suppenkuche, cha-ya, blue plate, golden era, etc.
4th rowbataille, celine, beckett. . .<br /> lynch, jarmusch, r.w. fassbender. . .<br /> twin peaks &amp; fishing w/ john<br /> joy division, throbbing gristle, cabaret voltaire. . .<br /> vegetarian pho and coffee
5th rowmusic: bands, rappers, musicians<br /> at the moment: thee oh sees.<br /> forever: wu-tang<br /> books: artbooks for days<br /> audiobooks: my collection, thick (thanks audible)<br /> shows: live ones<br /> food: with stellar friends whenever<br /> movies &gt; tv<br /> podcast: radiolab, this american life, the moth, joe rogan, the champs
ValueCountFrequency (%)
311993
 
5.9%
the 198930
 
3.7%
i 146972
 
2.8%
a 134556
 
2.5%
and 134208
 
2.5%
of 103780
 
2.0%
br 91239
 
1.7%
to 79397
 
1.5%
class="ilink 45964
 
0.9%
my 42530
 
0.8%
Other values (202769) 4022566
75.7%
2023-09-25T02:34:02.222255image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4591593
 
13.6%
e 2648704
 
7.8%
a 2118103
 
6.3%
i 1986421
 
5.9%
o 1910749
 
5.7%
t 1879874
 
5.6%
r 1734850
 
5.1%
s 1725134
 
5.1%
n 1645225
 
4.9%
l 1209976
 
3.6%
Other values (61) 12301999
36.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 24965961
74.0%
Space Separator 4591593
 
13.6%
Other Punctuation 2214204
 
6.6%
Math Symbol 1027173
 
3.0%
Control 673107
 
2.0%
Decimal Number 106249
 
0.3%
Dash Punctuation 73086
 
0.2%
Close Punctuation 50521
 
0.1%
Open Punctuation 46768
 
0.1%
Connector Punctuation 3397
 
< 0.1%
Other values (2) 569
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 2648704
 
10.6%
a 2118103
 
8.5%
i 1986421
 
8.0%
o 1910749
 
7.7%
t 1879874
 
7.5%
r 1734850
 
6.9%
s 1725134
 
6.9%
n 1645225
 
6.6%
l 1209976
 
4.8%
h 1014003
 
4.1%
Other values (16) 7092922
28.4%
Other Punctuation
ValueCountFrequency (%)
, 806612
36.4%
/ 419641
19.0%
. 375604
17.0%
" 248377
 
11.2%
' 107546
 
4.9%
: 102464
 
4.6%
? 61879
 
2.8%
; 33072
 
1.5%
! 25065
 
1.1%
& 16497
 
0.7%
Other values (5) 17447
 
0.8%
Decimal Number
ValueCountFrequency (%)
0 29370
27.6%
2 15583
14.7%
1 13421
12.6%
3 11190
 
10.5%
9 7362
 
6.9%
8 7213
 
6.8%
5 6525
 
6.1%
4 6409
 
6.0%
7 4970
 
4.7%
6 4206
 
4.0%
Math Symbol
ValueCountFrequency (%)
< 403803
39.3%
> 403803
39.3%
= 165411
16.1%
+ 53056
 
5.2%
~ 770
 
0.1%
| 330
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 49588
98.2%
] 844
 
1.7%
} 89
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 45916
98.2%
[ 768
 
1.6%
{ 84
 
0.2%
Control
ValueCountFrequency (%)
673106
> 99.9%
 1
 
< 0.1%
Modifier Symbol
ValueCountFrequency (%)
^ 151
74.0%
` 53
 
26.0%
Space Separator
ValueCountFrequency (%)
4591593
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 73086
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3397
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 365
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 24965961
74.0%
Common 8786667
 
26.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4591593
52.3%
, 806612
 
9.2%
673106
 
7.7%
/ 419641
 
4.8%
< 403803
 
4.6%
> 403803
 
4.6%
. 375604
 
4.3%
" 248377
 
2.8%
= 165411
 
1.9%
' 107546
 
1.2%
Other values (35) 591171
 
6.7%
Latin
ValueCountFrequency (%)
e 2648704
 
10.6%
a 2118103
 
8.5%
i 1986421
 
8.0%
o 1910749
 
7.7%
t 1879874
 
7.5%
r 1734850
 
6.9%
s 1725134
 
6.9%
n 1645225
 
6.6%
l 1209976
 
4.8%
h 1014003
 
4.1%
Other values (16) 7092922
28.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33752628
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4591593
 
13.6%
e 2648704
 
7.8%
a 2118103
 
6.3%
i 1986421
 
5.9%
o 1910749
 
5.7%
t 1879874
 
5.6%
r 1734850
 
5.1%
s 1725134
 
5.1%
n 1645225
 
4.9%
l 1209976
 
3.6%
Other values (61) 12301999
36.4%

essay5
Text

MISSING 

Distinct48963
Distinct (%)99.7%
Missing10850
Missing (%)18.1%
Memory size468.5 KiB
2023-09-25T02:34:02.965552image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length30446
Median length1472
Mean length147.50338
Min length1

Characters and Unicode

Total characters7241826
Distinct characters70
Distinct categories12 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48865 ?
Unique (%)99.5%

Sample

1st rowfood.<br /> water.<br /> cell phone.<br /> shelter.
2nd rowdelicious porkness in all of its glories.<br /> my big ass doughboy's sinking into 15 new inches.<br /> my overly resilient liver.<br /> a good sharp knife.<br /> my ps3... it plays blurays too. ;)<br /> my over the top energy and my outlook on life... just give me a bag of lemons and see what happens. ;)
3rd rowmovement<br /> conversation<br /> creation<br /> contemplation<br /> touch<br /> humor
4th rowlike everyone else, i love my friends and family, and need hugs, human contact, water and sunshine. let's take that as given.<br /> <br /> 1. something to build<br /> 2. something to sing<br /> 3. something to play on (my guitar would be first choice)<br /> 4. something to write/draw on<br /> 5. a big goal worth dreaming about<br /> 6. something to laugh at
5th rowlaughter<br /> amazing people in my life<br /> color<br /> curiosity<br /> music and rhythm<br /> a good pair of sunglasses
ValueCountFrequency (%)
177141
 
14.6%
my 46937
 
3.9%
and 29978
 
2.5%
a 26898
 
2.2%
the 24187
 
2.0%
i 21801
 
1.8%
to 18265
 
1.5%
of 14215
 
1.2%
friends 12336
 
1.0%
br 10934
 
0.9%
Other values (63172) 829074
68.4%
2023-09-25T02:34:03.870363image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
965830
 
13.3%
e 517990
 
7.2%
r 426006
 
5.9%
i 381921
 
5.3%
o 379041
 
5.2%
a 370303
 
5.1%
t 359223
 
5.0%
n 333540
 
4.6%
s 328214
 
4.5%
b 233499
 
3.2%
Other values (60) 2946259
40.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5098129
70.4%
Space Separator 965830
 
13.3%
Other Punctuation 502438
 
6.9%
Math Symbol 354801
 
4.9%
Control 197742
 
2.7%
Decimal Number 53781
 
0.7%
Close Punctuation 26685
 
0.4%
Dash Punctuation 25681
 
0.4%
Open Punctuation 15475
 
0.2%
Connector Punctuation 701
 
< 0.1%
Other values (2) 563
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 517990
 
10.2%
r 426006
 
8.4%
i 381921
 
7.5%
o 379041
 
7.4%
a 370303
 
7.3%
t 359223
 
7.0%
n 333540
 
6.5%
s 328214
 
6.4%
b 233499
 
4.6%
l 215999
 
4.2%
Other values (16) 1552393
30.5%
Other Punctuation
ValueCountFrequency (%)
/ 208994
41.6%
. 113328
22.6%
, 109225
21.7%
" 18402
 
3.7%
' 17406
 
3.5%
? 7281
 
1.4%
! 7131
 
1.4%
; 6487
 
1.3%
: 6075
 
1.2%
& 4092
 
0.8%
Other values (5) 4017
 
0.8%
Decimal Number
ValueCountFrequency (%)
2 8866
16.5%
1 8781
16.3%
3 8461
15.7%
6 8226
15.3%
4 7919
14.7%
5 7905
14.7%
0 1568
 
2.9%
7 979
 
1.8%
8 574
 
1.1%
9 502
 
0.9%
Math Symbol
ValueCountFrequency (%)
> 170308
48.0%
< 170308
48.0%
= 11730
 
3.3%
+ 2021
 
0.6%
~ 393
 
0.1%
| 41
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 26410
99.0%
] 248
 
0.9%
} 27
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 15234
98.4%
[ 215
 
1.4%
{ 26
 
0.2%
Modifier Symbol
ValueCountFrequency (%)
^ 66
85.7%
` 11
 
14.3%
Space Separator
ValueCountFrequency (%)
965830
100.0%
Control
ValueCountFrequency (%)
197742
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25681
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 701
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 486
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5098129
70.4%
Common 2143697
29.6%

Most frequent character per script

Common
ValueCountFrequency (%)
965830
45.1%
/ 208994
 
9.7%
197742
 
9.2%
> 170308
 
7.9%
< 170308
 
7.9%
. 113328
 
5.3%
, 109225
 
5.1%
) 26410
 
1.2%
- 25681
 
1.2%
" 18402
 
0.9%
Other values (34) 137469
 
6.4%
Latin
ValueCountFrequency (%)
e 517990
 
10.2%
r 426006
 
8.4%
i 381921
 
7.5%
o 379041
 
7.4%
a 370303
 
7.3%
t 359223
 
7.0%
n 333540
 
6.5%
s 328214
 
6.4%
b 233499
 
4.6%
l 215999
 
4.2%
Other values (16) 1552393
30.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7241826
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
965830
 
13.3%
e 517990
 
7.2%
r 426006
 
5.9%
i 381921
 
5.3%
o 379041
 
5.2%
a 370303
 
5.1%
t 359223
 
5.0%
n 333540
 
4.6%
s 328214
 
4.5%
b 233499
 
3.2%
Other values (60) 2946259
40.7%

essay6
Text

MISSING 

Distinct43603
Distinct (%)94.4%
Missing13771
Missing (%)23.0%
Memory size468.5 KiB
2023-09-25T02:34:04.975568image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length11385
Median length2003
Mean length152.20184
Min length1

Characters and Unicode

Total characters7027920
Distinct characters70
Distinct categories12 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42914 ?
Unique (%)92.9%

Sample

1st rowduality and humorous things
2nd rowcats and german philosophy
3rd rowwhat my contribution to the world is going to be and/or should be. and what's for breakfast. i love breakfast.
4th rowsynchronicity<br /> <br /> there is this whole other realm where the fabrics of our life stories intersect as they dance and play in a magical burst of energy. this realm doesn't need you to believe in it in order to maintain. it is a cluster of synchronicities and happenings. it is a gift to those who notice them. something to be treasured appreciated. there is something special in each and every moment that you experience in your daily waking life. this something brings us back to the age old question: if a tree falls in the forest and no one is there to hear it, does it make a sound? this works in the same way. if you are not consciously there to hear it, see it, taste it, smell it, feel it none of this matters, it's still there. pay attention to the little things, those that are often overlooked. see if you can find the magic in this gift we call life.
5th rowthings that amuse and inspire me
ValueCountFrequency (%)
49138
 
3.9%
to 46403
 
3.7%
the 45399
 
3.6%
i 44615
 
3.6%
and 39477
 
3.2%
my 27552
 
2.2%
a 27355
 
2.2%
of 21091
 
1.7%
how 20967
 
1.7%
in 16909
 
1.4%
Other values (55995) 912780
72.9%
2023-09-25T02:34:06.157005image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1096730
15.6%
e 586977
 
8.4%
t 496710
 
7.1%
i 430953
 
6.1%
o 423104
 
6.0%
a 408292
 
5.8%
n 386204
 
5.5%
r 309774
 
4.4%
s 301760
 
4.3%
h 266713
 
3.8%
Other values (60) 2320703
33.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5352507
76.2%
Space Separator 1096730
 
15.6%
Other Punctuation 322000
 
4.6%
Math Symbol 110652
 
1.6%
Control 109150
 
1.6%
Dash Punctuation 13054
 
0.2%
Decimal Number 10396
 
0.1%
Close Punctuation 6780
 
0.1%
Open Punctuation 5430
 
0.1%
Connector Punctuation 996
 
< 0.1%
Other values (2) 225
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 586977
 
11.0%
t 496710
 
9.3%
i 430953
 
8.1%
o 423104
 
7.9%
a 408292
 
7.6%
n 386204
 
7.2%
r 309774
 
5.8%
s 301760
 
5.6%
h 266713
 
5.0%
l 231384
 
4.3%
Other values (16) 1510636
28.2%
Other Punctuation
ValueCountFrequency (%)
. 119011
37.0%
, 71765
22.3%
/ 53646
16.7%
' 25821
 
8.0%
" 20705
 
6.4%
? 13571
 
4.2%
! 6299
 
2.0%
: 4099
 
1.3%
; 3913
 
1.2%
& 1224
 
0.4%
Other values (5) 1946
 
0.6%
Decimal Number
ValueCountFrequency (%)
0 2423
23.3%
1 1825
17.6%
2 1687
16.2%
5 967
 
9.3%
3 938
 
9.0%
4 758
 
7.3%
9 516
 
5.0%
6 457
 
4.4%
8 445
 
4.3%
7 380
 
3.7%
Math Symbol
ValueCountFrequency (%)
> 48888
44.2%
< 48888
44.2%
= 10909
 
9.9%
+ 1645
 
1.5%
~ 258
 
0.2%
| 64
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 6640
97.9%
] 126
 
1.9%
} 14
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 5311
97.8%
[ 110
 
2.0%
{ 9
 
0.2%
Modifier Symbol
ValueCountFrequency (%)
^ 48
73.8%
` 17
 
26.2%
Space Separator
ValueCountFrequency (%)
1096730
100.0%
Control
ValueCountFrequency (%)
109150
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13054
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 996
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 160
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5352507
76.2%
Common 1675413
 
23.8%

Most frequent character per script

Common
ValueCountFrequency (%)
1096730
65.5%
. 119011
 
7.1%
109150
 
6.5%
, 71765
 
4.3%
/ 53646
 
3.2%
> 48888
 
2.9%
< 48888
 
2.9%
' 25821
 
1.5%
" 20705
 
1.2%
? 13571
 
0.8%
Other values (34) 67238
 
4.0%
Latin
ValueCountFrequency (%)
e 586977
 
11.0%
t 496710
 
9.3%
i 430953
 
8.1%
o 423104
 
7.9%
a 408292
 
7.6%
n 386204
 
7.2%
r 309774
 
5.8%
s 301760
 
5.6%
h 266713
 
5.0%
l 231384
 
4.3%
Other values (16) 1510636
28.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7027920
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1096730
15.6%
e 586977
 
8.4%
t 496710
 
7.1%
i 430953
 
6.1%
o 423104
 
6.0%
a 408292
 
5.8%
n 386204
 
5.5%
r 309774
 
4.4%
s 301760
 
4.3%
h 266713
 
3.8%
Other values (60) 2320703
33.0%

essay7
Text

MISSING 

Distinct45554
Distinct (%)95.9%
Missing12451
Missing (%)20.8%
Memory size468.5 KiB
2023-09-25T02:34:07.339307image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length3722
Median length905
Mean length118.9796
Min length1

Characters and Unicode

Total characters5650936
Distinct characters70
Distinct categories12 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44968 ?
Unique (%)94.7%

Sample

1st rowtrying to find someone to hang out with. i am down for anything except a club.
2nd rowviewing. listening. dancing. talking. drinking. performing.
3rd rowout with my friends!
4th rowplotting to take over the world with my army of segway riding pandas and fire breathing kittens
5th rowout and about or relaxing at home with a good book or netflix
ValueCountFrequency (%)
a 46249
 
4.5%
with 31687
 
3.1%
or 30343
 
3.0%
the 28529
 
2.8%
to 25068
 
2.5%
out 24955
 
2.4%
i 23314
 
2.3%
and 22717
 
2.2%
friends 21320
 
2.1%
20303
 
2.0%
Other values (33931) 747297
73.1%
2023-09-25T02:34:08.533111image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
903456
16.0%
e 417348
 
7.4%
i 407086
 
7.2%
n 369703
 
6.5%
t 365702
 
6.5%
o 358403
 
6.3%
a 340228
 
6.0%
r 268582
 
4.8%
s 216473
 
3.8%
h 199601
 
3.5%
Other values (60) 1804354
31.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4392425
77.7%
Space Separator 903456
 
16.0%
Other Punctuation 218700
 
3.9%
Control 70937
 
1.3%
Math Symbol 41995
 
0.7%
Dash Punctuation 7411
 
0.1%
Decimal Number 5739
 
0.1%
Close Punctuation 5647
 
0.1%
Open Punctuation 4174
 
0.1%
Connector Punctuation 324
 
< 0.1%
Other values (2) 128
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 417348
 
9.5%
i 407086
 
9.3%
n 369703
 
8.4%
t 365702
 
8.3%
o 358403
 
8.2%
a 340228
 
7.7%
r 268582
 
6.1%
s 216473
 
4.9%
h 199601
 
4.5%
g 179995
 
4.1%
Other values (16) 1269304
28.9%
Other Punctuation
ValueCountFrequency (%)
. 88453
40.4%
, 61467
28.1%
/ 23488
 
10.7%
' 19707
 
9.0%
" 8692
 
4.0%
! 6187
 
2.8%
? 3836
 
1.8%
: 2895
 
1.3%
; 2275
 
1.0%
& 861
 
0.4%
Other values (5) 839
 
0.4%
Decimal Number
ValueCountFrequency (%)
0 1144
19.9%
1 1070
18.6%
2 895
15.6%
3 673
11.7%
5 485
8.5%
4 383
 
6.7%
9 321
 
5.6%
8 281
 
4.9%
6 250
 
4.4%
7 237
 
4.1%
Math Symbol
ValueCountFrequency (%)
> 18264
43.5%
< 18264
43.5%
= 4527
 
10.8%
+ 831
 
2.0%
~ 96
 
0.2%
| 13
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 5558
98.4%
] 72
 
1.3%
} 17
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 4093
98.1%
[ 66
 
1.6%
{ 15
 
0.4%
Modifier Symbol
ValueCountFrequency (%)
^ 62
95.4%
` 3
 
4.6%
Space Separator
ValueCountFrequency (%)
903456
100.0%
Control
ValueCountFrequency (%)
70937
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7411
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 324
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 63
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4392425
77.7%
Common 1258511
 
22.3%

Most frequent character per script

Common
ValueCountFrequency (%)
903456
71.8%
. 88453
 
7.0%
70937
 
5.6%
, 61467
 
4.9%
/ 23488
 
1.9%
' 19707
 
1.6%
> 18264
 
1.5%
< 18264
 
1.5%
" 8692
 
0.7%
- 7411
 
0.6%
Other values (34) 38372
 
3.0%
Latin
ValueCountFrequency (%)
e 417348
 
9.5%
i 407086
 
9.3%
n 369703
 
8.4%
t 365702
 
8.3%
o 358403
 
8.2%
a 340228
 
7.7%
r 268582
 
6.1%
s 216473
 
4.9%
h 199601
 
4.5%
g 179995
 
4.1%
Other values (16) 1269304
28.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5650936
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
903456
16.0%
e 417348
 
7.4%
i 407086
 
7.2%
n 369703
 
6.5%
t 365702
 
6.5%
o 358403
 
6.3%
a 340228
 
6.0%
r 268582
 
4.8%
s 216473
 
3.8%
h 199601
 
3.5%
Other values (60) 1804354
31.9%

essay8
Text

MISSING 

Distinct39324
Distinct (%)96.6%
Missing19225
Missing (%)32.1%
Memory size468.5 KiB
2023-09-25T02:34:09.418594image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length13304
Median length1816
Mean length109.97854
Min length1

Characters and Unicode

Total characters4478436
Distinct characters70
Distinct categories12 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38760 ?
Unique (%)95.2%

Sample

1st rowi am new to california and looking for someone to wisper my secrets to.
2nd rowi am very open and will share just about anything.
3rd rowwhen i was five years old, i was known as "the boogerman".
4th rowi cried on my first day at school because a bird shat on my head. true story.
5th rowmy typical friday night
ValueCountFrequency (%)
i 52524
 
6.2%
a 25434
 
3.0%
to 24201
 
2.9%
21695
 
2.6%
the 20045
 
2.4%
and 17706
 
2.1%
my 13567
 
1.6%
of 12926
 
1.5%
in 11291
 
1.3%
i'm 11267
 
1.3%
Other values (41360) 636078
75.1%
2023-09-25T02:34:10.518199image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
748354
16.7%
e 377493
 
8.4%
t 309333
 
6.9%
i 293386
 
6.6%
a 275207
 
6.1%
o 267227
 
6.0%
n 231521
 
5.2%
s 199215
 
4.4%
r 186586
 
4.2%
l 157639
 
3.5%
Other values (60) 1432475
32.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3393375
75.8%
Space Separator 748354
 
16.7%
Other Punctuation 207743
 
4.6%
Control 57830
 
1.3%
Math Symbol 42295
 
0.9%
Decimal Number 10702
 
0.2%
Dash Punctuation 7806
 
0.2%
Close Punctuation 5998
 
0.1%
Open Punctuation 3657
 
0.1%
Connector Punctuation 477
 
< 0.1%
Other values (2) 199
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 377493
 
11.1%
t 309333
 
9.1%
i 293386
 
8.6%
a 275207
 
8.1%
o 267227
 
7.9%
n 231521
 
6.8%
s 199215
 
5.9%
r 186586
 
5.5%
l 157639
 
4.6%
h 150192
 
4.4%
Other values (16) 945576
27.9%
Other Punctuation
ValueCountFrequency (%)
. 94744
45.6%
' 33521
 
16.1%
, 29438
 
14.2%
/ 21063
 
10.1%
" 9882
 
4.8%
! 6443
 
3.1%
? 4781
 
2.3%
: 3753
 
1.8%
; 2143
 
1.0%
* 839
 
0.4%
Other values (5) 1136
 
0.5%
Decimal Number
ValueCountFrequency (%)
0 2243
21.0%
1 1988
18.6%
2 1592
14.9%
3 1014
9.5%
5 922
8.6%
4 741
 
6.9%
9 593
 
5.5%
8 576
 
5.4%
6 553
 
5.2%
7 480
 
4.5%
Math Symbol
ValueCountFrequency (%)
> 19109
45.2%
< 19109
45.2%
= 3203
 
7.6%
+ 770
 
1.8%
~ 91
 
0.2%
| 13
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 5871
97.9%
] 111
 
1.9%
} 16
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 3550
97.1%
[ 99
 
2.7%
{ 8
 
0.2%
Modifier Symbol
ValueCountFrequency (%)
^ 89
84.8%
` 16
 
15.2%
Space Separator
ValueCountFrequency (%)
748354
100.0%
Control
ValueCountFrequency (%)
57830
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7806
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 477
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 94
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3393375
75.8%
Common 1085061
 
24.2%

Most frequent character per script

Common
ValueCountFrequency (%)
748354
69.0%
. 94744
 
8.7%
57830
 
5.3%
' 33521
 
3.1%
, 29438
 
2.7%
/ 21063
 
1.9%
> 19109
 
1.8%
< 19109
 
1.8%
" 9882
 
0.9%
- 7806
 
0.7%
Other values (34) 44205
 
4.1%
Latin
ValueCountFrequency (%)
e 377493
 
11.1%
t 309333
 
9.1%
i 293386
 
8.6%
a 275207
 
8.1%
o 267227
 
7.9%
n 231521
 
6.8%
s 199215
 
5.9%
r 186586
 
5.5%
l 157639
 
4.6%
h 150192
 
4.4%
Other values (16) 945576
27.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4478436
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
748354
16.7%
e 377493
 
8.4%
t 309333
 
6.9%
i 293386
 
6.6%
a 275207
 
6.1%
o 267227
 
6.0%
n 231521
 
5.2%
s 199215
 
4.4%
r 186586
 
4.2%
l 157639
 
3.5%
Other values (60) 1432475
32.0%

essay9
Text

MISSING 

Distinct45443
Distinct (%)96.0%
Missing12603
Missing (%)21.0%
Memory size468.5 KiB
2023-09-25T02:34:11.371920image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length11444
Median length2338
Mean length200.75874
Min length1

Characters and Unicode

Total characters9504521
Distinct characters70
Distinct categories12 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44907 ?
Unique (%)94.9%

Sample

1st rowyou want to be swept off your feet!<br /> you are tired of the norm.<br /> you want to catch a coffee or a bite.<br /> or if you want to talk philosophy.
2nd rowyou are bright, open, intense, silly, ironic, critical, caring, generous, looking for an exploration, rather than finding "a match" of some predetermined qualities.<br /> <br /> i'm currently in a fabulous and open relationship, so you should be comfortable with that.
3rd rowyou feel so inclined.
4th rowyou're awesome.
5th rowhttp://www.youtube.com/watch?v=4dxbwzuwsxk let's have some fun and maybe get into a little trouble
ValueCountFrequency (%)
you 92351
 
5.3%
80334
 
4.6%
to 64399
 
3.7%
a 57414
 
3.3%
and 55494
 
3.2%
the 30132
 
1.7%
if 27586
 
1.6%
are 25415
 
1.5%
i 24582
 
1.4%
of 22228
 
1.3%
Other values (59552) 1257693
72.4%
2023-09-25T02:34:12.450289image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1531856
16.1%
e 790835
 
8.3%
o 690489
 
7.3%
t 591714
 
6.2%
a 575229
 
6.1%
n 527024
 
5.5%
i 507084
 
5.3%
r 448017
 
4.7%
s 378326
 
4.0%
l 299302
 
3.1%
Other values (60) 3164645
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7162843
75.4%
Space Separator 1531856
 
16.1%
Other Punctuation 433016
 
4.6%
Control 159131
 
1.7%
Math Symbol 156828
 
1.7%
Dash Punctuation 23747
 
0.2%
Close Punctuation 14086
 
0.1%
Decimal Number 12610
 
0.1%
Open Punctuation 8802
 
0.1%
Connector Punctuation 1280
 
< 0.1%
Other values (2) 322
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 790835
 
11.0%
o 690489
 
9.6%
t 591714
 
8.3%
a 575229
 
8.0%
n 527024
 
7.4%
i 507084
 
7.1%
r 448017
 
6.3%
s 378326
 
5.3%
l 299302
 
4.2%
u 298149
 
4.2%
Other values (16) 2056674
28.7%
Other Punctuation
ValueCountFrequency (%)
. 145801
33.7%
, 93321
21.6%
/ 80213
18.5%
' 54400
 
12.6%
" 19765
 
4.6%
! 11955
 
2.8%
: 8743
 
2.0%
? 7004
 
1.6%
; 5053
 
1.2%
* 4176
 
1.0%
Other values (5) 2585
 
0.6%
Decimal Number
ValueCountFrequency (%)
0 2699
21.4%
1 2194
17.4%
2 1839
14.6%
3 1249
9.9%
5 1221
9.7%
4 1014
 
8.0%
6 625
 
5.0%
8 613
 
4.9%
9 612
 
4.9%
7 544
 
4.3%
Math Symbol
ValueCountFrequency (%)
< 72750
46.4%
> 72750
46.4%
= 8584
 
5.5%
+ 1763
 
1.1%
~ 917
 
0.6%
| 64
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 13789
97.9%
] 275
 
2.0%
} 22
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 8581
97.5%
[ 205
 
2.3%
{ 16
 
0.2%
Modifier Symbol
ValueCountFrequency (%)
^ 222
92.9%
` 17
 
7.1%
Space Separator
ValueCountFrequency (%)
1531856
100.0%
Control
ValueCountFrequency (%)
159131
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23747
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1280
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 83
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7162843
75.4%
Common 2341678
 
24.6%

Most frequent character per script

Common
ValueCountFrequency (%)
1531856
65.4%
159131
 
6.8%
. 145801
 
6.2%
, 93321
 
4.0%
/ 80213
 
3.4%
< 72750
 
3.1%
> 72750
 
3.1%
' 54400
 
2.3%
- 23747
 
1.0%
" 19765
 
0.8%
Other values (34) 87944
 
3.8%
Latin
ValueCountFrequency (%)
e 790835
 
11.0%
o 690489
 
9.6%
t 591714
 
8.3%
a 575229
 
8.0%
n 527024
 
7.4%
i 507084
 
7.1%
r 448017
 
6.3%
s 378326
 
5.3%
l 299302
 
4.2%
u 298149
 
4.2%
Other values (16) 2056674
28.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9504521
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1531856
16.1%
e 790835
 
8.3%
o 690489
 
7.3%
t 591714
 
6.2%
a 575229
 
6.1%
n 527024
 
5.5%
i 507084
 
5.3%
r 448017
 
4.7%
s 378326
 
4.0%
l 299302
 
3.1%
Other values (60) 3164645
33.3%

ethnicity
Text

MISSING 

Distinct217
Distinct (%)0.4%
Missing5680
Missing (%)9.5%
Memory size468.5 KiB
2023-09-25T02:34:12.692387image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length103
Median length5
Mean length7.9898832
Min length5

Characters and Unicode

Total characters433579
Distinct characters22
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)0.1%

Sample

1st rowasian, white
2nd rowwhite
3rd rowwhite
4th rowasian, black, other
5th rowwhite
ValueCountFrequency (%)
white 37882
48.6%
asian 8205
 
10.5%
hispanic 5357
 
6.9%
5357
 
6.9%
latin 5357
 
6.9%
other 3567
 
4.6%
black 3328
 
4.3%
pacific 1473
 
1.9%
islander 1473
 
1.9%
indian 1449
 
1.9%
Other values (4) 4430
 
5.7%
2023-09-25T02:34:13.172408image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 72955
16.8%
t 49021
11.3%
e 48302
11.1%
h 46806
10.8%
a 39592
9.1%
w 37882
8.7%
n 26770
 
6.2%
23612
 
5.4%
s 15985
 
3.7%
c 12896
 
3.0%
Other values (12) 59758
13.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 395400
91.2%
Space Separator 23612
 
5.4%
Other Punctuation 14567
 
3.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 72955
18.5%
t 49021
12.4%
e 48302
12.2%
h 46806
11.8%
a 39592
10.0%
w 37882
9.6%
n 26770
 
6.8%
s 15985
 
4.0%
c 12896
 
3.3%
l 11108
 
2.8%
Other values (9) 34083
8.6%
Other Punctuation
ValueCountFrequency (%)
, 9210
63.2%
/ 5357
36.8%
Space Separator
ValueCountFrequency (%)
23612
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 395400
91.2%
Common 38179
 
8.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 72955
18.5%
t 49021
12.4%
e 48302
12.2%
h 46806
11.8%
a 39592
10.0%
w 37882
9.6%
n 26770
 
6.8%
s 15985
 
4.0%
c 12896
 
3.3%
l 11108
 
2.8%
Other values (9) 34083
8.6%
Common
ValueCountFrequency (%)
23612
61.8%
, 9210
 
24.1%
/ 5357
 
14.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 433579
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 72955
16.8%
t 49021
11.3%
e 48302
11.1%
h 46806
10.8%
a 39592
9.1%
w 37882
8.7%
n 26770
 
6.2%
23612
 
5.4%
s 15985
 
3.7%
c 12896
 
3.0%
Other values (12) 59758
13.8%

height
Real number (ℝ)

HIGH CORRELATION 

Distinct60
Distinct (%)0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean68.295281
Minimum1
Maximum95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size468.5 KiB
2023-09-25T02:34:13.333081image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile62
Q166
median68
Q371
95-th percentile74
Maximum95
Range94
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.9948031
Coefficient of variation (CV)0.058493107
Kurtosis7.7610624
Mean68.295281
Median Absolute Deviation (MAD)3
Skewness-0.46306088
Sum4093824
Variance15.958452
MonotonicityNot monotonic
2023-09-25T02:34:13.477319image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
70 6074
10.1%
68 5449
9.1%
67 5354
8.9%
72 5315
8.9%
69 5179
8.6%
71 4826
 
8.1%
66 4759
 
7.9%
64 3865
 
6.4%
65 3794
 
6.3%
73 2815
 
4.7%
Other values (50) 12513
20.9%
ValueCountFrequency (%)
1 1
 
< 0.1%
3 1
 
< 0.1%
4 1
 
< 0.1%
6 1
 
< 0.1%
8 1
 
< 0.1%
9 1
 
< 0.1%
26 1
 
< 0.1%
36 11
< 0.1%
37 2
 
< 0.1%
42 1
 
< 0.1%
ValueCountFrequency (%)
95 20
< 0.1%
94 3
 
< 0.1%
93 1
 
< 0.1%
92 1
 
< 0.1%
91 3
 
< 0.1%
90 1
 
< 0.1%
89 1
 
< 0.1%
88 2
 
< 0.1%
87 1
 
< 0.1%
86 1
 
< 0.1%

income
Real number (ℝ)

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20033.223
Minimum-1
Maximum1000000
Zeros0
Zeros (%)0.0%
Negative48442
Negative (%)80.8%
Memory size468.5 KiB
2023-09-25T02:34:13.613436image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile80000
Maximum1000000
Range1000001
Interquartile range (IQR)0

Descriptive statistics

Standard deviation97346.192
Coefficient of variation (CV)4.8592378
Kurtosis86.870163
Mean20033.223
Median Absolute Deviation (MAD)0
Skewness9.036157
Sum1.2009116 × 109
Variance9.4762811 × 109
MonotonicityNot monotonic
2023-09-25T02:34:13.785203image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
-1 48442
80.8%
20000 2952
 
4.9%
100000 1621
 
2.7%
80000 1111
 
1.9%
30000 1048
 
1.7%
40000 1005
 
1.7%
50000 975
 
1.6%
60000 736
 
1.2%
70000 707
 
1.2%
150000 631
 
1.1%
Other values (3) 718
 
1.2%
ValueCountFrequency (%)
-1 48442
80.8%
20000 2952
 
4.9%
30000 1048
 
1.7%
40000 1005
 
1.7%
50000 975
 
1.6%
60000 736
 
1.2%
70000 707
 
1.2%
80000 1111
 
1.9%
100000 1621
 
2.7%
150000 631
 
1.1%
ValueCountFrequency (%)
1000000 521
 
0.9%
500000 48
 
0.1%
250000 149
 
0.2%
150000 631
 
1.1%
100000 1621
2.7%
80000 1111
1.9%
70000 707
1.2%
60000 736
1.2%
50000 975
1.6%
40000 1005
1.7%

job
Categorical

MISSING 

Distinct21
Distinct (%)< 0.1%
Missing8198
Missing (%)13.7%
Memory size468.5 KiB
other
7589 
student
4882 
science / tech / engineering
4848 
computer / hardware / software
4709 
artistic / musical / writer
4439 
Other values (16)
25281 

Length

Max length33
Median length27
Mean length19.92591
Min length5

Characters and Unicode

Total characters1031126
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowtransportation
2nd rowhospitality / travel
3rd rowstudent
4th rowartistic / musical / writer
5th rowcomputer / hardware / software

Common Values

ValueCountFrequency (%)
other 7589
12.7%
student 4882
8.1%
science / tech / engineering 4848
8.1%
computer / hardware / software 4709
7.9%
artistic / musical / writer 4439
7.4%
sales / marketing / biz dev 4391
7.3%
medicine / health 3680
6.1%
education / academia 3513
 
5.9%
executive / management 2373
 
4.0%
banking / financial / real estate 2266
 
3.8%
Other values (11) 9058
15.1%
(Missing) 8198
13.7%

Length

2023-09-25T02:34:13.971830image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
58401
32.9%
other 7589
 
4.3%
student 4882
 
2.8%
science 4848
 
2.7%
engineering 4848
 
2.7%
tech 4848
 
2.7%
computer 4709
 
2.7%
hardware 4709
 
2.7%
software 4709
 
2.7%
artistic 4439
 
2.5%
Other values (36) 73478
41.4%

Most occurring characters

ValueCountFrequency (%)
e 129042
12.5%
125712
12.2%
t 85153
 
8.3%
a 82558
 
8.0%
i 80950
 
7.9%
n 63143
 
6.1%
r 62910
 
6.1%
/ 58401
 
5.7%
c 50238
 
4.9%
s 43161
 
4.2%
Other values (16) 249858
24.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 847013
82.1%
Space Separator 125712
 
12.2%
Other Punctuation 58401
 
5.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 129042
15.2%
t 85153
10.1%
a 82558
9.7%
i 80950
9.6%
n 63143
 
7.5%
r 62910
 
7.4%
c 50238
 
5.9%
s 43161
 
5.1%
m 32989
 
3.9%
d 28266
 
3.3%
Other values (14) 188603
22.3%
Space Separator
ValueCountFrequency (%)
125712
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 58401
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 847013
82.1%
Common 184113
 
17.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 129042
15.2%
t 85153
10.1%
a 82558
9.7%
i 80950
9.6%
n 63143
 
7.5%
r 62910
 
7.4%
c 50238
 
5.9%
s 43161
 
5.1%
m 32989
 
3.9%
d 28266
 
3.3%
Other values (14) 188603
22.3%
Common
ValueCountFrequency (%)
125712
68.3%
/ 58401
31.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1031126
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 129042
12.5%
125712
12.2%
t 85153
 
8.3%
a 82558
 
8.0%
i 80950
 
7.9%
n 63143
 
6.1%
r 62910
 
6.1%
/ 58401
 
5.7%
c 50238
 
4.9%
s 43161
 
4.2%
Other values (16) 249858
24.2%
Distinct30123
Distinct (%)50.3%
Missing0
Missing (%)0.0%
Memory size468.5 KiB
2023-09-25T02:34:14.439644image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length16
Median length16
Mean length16
Min length16

Characters and Unicode

Total characters959136
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22583 ?
Unique (%)37.7%

Sample

1st row2012-06-28-20-30
2nd row2012-06-29-21-41
3rd row2012-06-27-09-10
4th row2012-06-28-14-22
5th row2012-06-27-21-26
ValueCountFrequency (%)
2012-06-29-22-56 24
 
< 0.1%
2012-06-30-22-09 23
 
< 0.1%
2012-06-30-22-56 23
 
< 0.1%
2012-06-30-23-27 23
 
< 0.1%
2012-06-30-21-51 23
 
< 0.1%
2012-06-30-23-55 22
 
< 0.1%
2012-06-30-22-53 22
 
< 0.1%
2012-06-30-22-57 22
 
< 0.1%
2012-06-30-10-15 22
 
< 0.1%
2012-06-30-22-50 22
 
< 0.1%
Other values (30113) 59720
99.6%
2023-09-25T02:34:15.372184image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 239784
25.0%
2 190191
19.8%
0 183476
19.1%
1 135530
14.1%
6 56174
 
5.9%
3 42790
 
4.5%
5 26674
 
2.8%
4 24696
 
2.6%
9 23482
 
2.4%
7 18196
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 719352
75.0%
Dash Punctuation 239784
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 190191
26.4%
0 183476
25.5%
1 135530
18.8%
6 56174
 
7.8%
3 42790
 
5.9%
5 26674
 
3.7%
4 24696
 
3.4%
9 23482
 
3.3%
7 18196
 
2.5%
8 18143
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 239784
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 959136
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 239784
25.0%
2 190191
19.8%
0 183476
19.1%
1 135530
14.1%
6 56174
 
5.9%
3 42790
 
4.5%
5 26674
 
2.8%
4 24696
 
2.6%
9 23482
 
2.4%
7 18196
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 959136
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 239784
25.0%
2 190191
19.8%
0 183476
19.1%
1 135530
14.1%
6 56174
 
5.9%
3 42790
 
4.5%
5 26674
 
2.8%
4 24696
 
2.6%
9 23482
 
2.4%
7 18196
 
1.9%
Distinct199
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size468.5 KiB
2023-09-25T02:34:16.233301image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length35
Median length25
Mean length22.909452
Min length12

Characters and Unicode

Total characters1373330
Distinct characters28
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique96 ?
Unique (%)0.2%

Sample

1st rowsouth san francisco, california
2nd rowoakland, california
3rd rowsan francisco, california
4th rowberkeley, california
5th rowsan francisco, california
ValueCountFrequency (%)
california 59855
37.0%
san 35282
21.8%
francisco 31480
19.5%
oakland 7221
 
4.5%
berkeley 4212
 
2.6%
city 1405
 
0.9%
mateo 1331
 
0.8%
palo 1077
 
0.7%
alto 1077
 
0.7%
alameda 910
 
0.6%
Other values (258) 17776
 
11.0%
2023-09-25T02:34:17.249272image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 221097
16.1%
i 158261
11.5%
n 140868
10.3%
c 127418
9.3%
o 111090
8.1%
r 105139
7.7%
101680
7.4%
f 93421
6.8%
l 86542
 
6.3%
s 69620
 
5.1%
Other values (18) 158194
11.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1211703
88.2%
Space Separator 101680
 
7.4%
Other Punctuation 59947
 
4.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 221097
18.2%
i 158261
13.1%
n 140868
11.6%
c 127418
10.5%
o 111090
9.2%
r 105139
8.7%
f 93421
7.7%
l 86542
 
7.1%
s 69620
 
5.7%
e 27355
 
2.3%
Other values (16) 70892
 
5.9%
Space Separator
ValueCountFrequency (%)
101680
100.0%
Other Punctuation
ValueCountFrequency (%)
, 59947
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1211703
88.2%
Common 161627
 
11.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 221097
18.2%
i 158261
13.1%
n 140868
11.6%
c 127418
10.5%
o 111090
9.2%
r 105139
8.7%
f 93421
7.7%
l 86542
 
7.1%
s 69620
 
5.7%
e 27355
 
2.3%
Other values (16) 70892
 
5.9%
Common
ValueCountFrequency (%)
101680
62.9%
, 59947
37.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1373330
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 221097
16.1%
i 158261
11.5%
n 140868
10.3%
c 127418
9.3%
o 111090
8.1%
r 105139
7.7%
101680
7.4%
f 93421
6.8%
l 86542
 
6.3%
s 69620
 
5.1%
Other values (18) 158194
11.5%

offspring
Categorical

MISSING 

Distinct15
Distinct (%)0.1%
Missing35561
Missing (%)59.3%
Memory size468.5 KiB
doesn&rsquo;t have kids
7560 
doesn&rsquo;t have kids, but might want them
3875 
doesn&rsquo;t have kids, but wants them
3565 
doesn&rsquo;t want kids
2927 
has kids
1883 
Other values (10)
4575 

Length

Max length51
Median length44
Mean length28.082387
Min length8

Characters and Unicode

Total characters684789
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowdoesn&rsquo;t have kids, but might want them
2nd rowdoesn&rsquo;t have kids, but might want them
3rd rowdoesn&rsquo;t want kids
4th rowdoesn&rsquo;t have kids, but might want them
5th rowdoesn&rsquo;t have kids, but wants them

Common Values

ValueCountFrequency (%)
doesn&rsquo;t have kids 7560
 
12.6%
doesn&rsquo;t have kids, but might want them 3875
 
6.5%
doesn&rsquo;t have kids, but wants them 3565
 
5.9%
doesn&rsquo;t want kids 2927
 
4.9%
has kids 1883
 
3.1%
has a kid 1881
 
3.1%
doesn&rsquo;t have kids, and doesn&rsquo;t want any 1132
 
1.9%
has kids, but doesn&rsquo;t want more 442
 
0.7%
has a kid, but doesn&rsquo;t want more 275
 
0.5%
has a kid, and might want more 231
 
0.4%
Other values (5) 614
 
1.0%
(Missing) 35561
59.3%

Length

2023-09-25T02:34:17.395172image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
kids 21927
20.7%
doesn&rsquo;t 20908
19.8%
have 16132
15.3%
want 9179
8.7%
but 8157
 
7.7%
them 7440
 
7.0%
has 4919
 
4.7%
might 4403
 
4.2%
wants 3882
 
3.7%
a 2458
 
2.3%
Other values (4) 6315
 
6.0%

Most occurring characters

ValueCountFrequency (%)
81335
 
11.9%
s 72544
 
10.6%
t 53969
 
7.9%
d 46863
 
6.8%
e 45635
 
6.7%
o 42971
 
6.3%
a 39272
 
5.7%
n 36671
 
5.4%
h 32894
 
4.8%
u 29065
 
4.2%
Other values (13) 203570
29.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 551911
80.6%
Space Separator 81335
 
11.9%
Other Punctuation 51543
 
7.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 72544
13.1%
t 53969
9.8%
d 46863
 
8.5%
e 45635
 
8.3%
o 42971
 
7.8%
a 39272
 
7.1%
n 36671
 
6.6%
h 32894
 
6.0%
u 29065
 
5.3%
i 28788
 
5.2%
Other values (9) 123239
22.3%
Other Punctuation
ValueCountFrequency (%)
; 20908
40.6%
& 20908
40.6%
, 9727
18.9%
Space Separator
ValueCountFrequency (%)
81335
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 551911
80.6%
Common 132878
 
19.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 72544
13.1%
t 53969
9.8%
d 46863
 
8.5%
e 45635
 
8.3%
o 42971
 
7.8%
a 39272
 
7.1%
n 36671
 
6.6%
h 32894
 
6.0%
u 29065
 
5.3%
i 28788
 
5.2%
Other values (9) 123239
22.3%
Common
ValueCountFrequency (%)
81335
61.2%
; 20908
 
15.7%
& 20908
 
15.7%
, 9727
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 684789
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
81335
 
11.9%
s 72544
 
10.6%
t 53969
 
7.9%
d 46863
 
6.8%
e 45635
 
6.7%
o 42971
 
6.3%
a 39272
 
5.7%
n 36671
 
5.4%
h 32894
 
4.8%
u 29065
 
4.2%
Other values (13) 203570
29.7%

orientation
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size468.5 KiB
straight
51606 
gay
5573 
bisexual
 
2767

Length

Max length8
Median length8
Mean length7.535165
Min length3

Characters and Unicode

Total characters451703
Distinct characters13
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowstraight
2nd rowstraight
3rd rowstraight
4th rowstraight
5th rowstraight

Common Values

ValueCountFrequency (%)
straight 51606
86.1%
gay 5573
 
9.3%
bisexual 2767
 
4.6%

Length

2023-09-25T02:34:17.594518image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-25T02:34:17.776859image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
straight 51606
86.1%
gay 5573
 
9.3%
bisexual 2767
 
4.6%

Most occurring characters

ValueCountFrequency (%)
t 103212
22.8%
a 59946
13.3%
g 57179
12.7%
s 54373
12.0%
i 54373
12.0%
r 51606
11.4%
h 51606
11.4%
y 5573
 
1.2%
b 2767
 
0.6%
e 2767
 
0.6%
Other values (3) 8301
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 451703
100.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 103212
22.8%
a 59946
13.3%
g 57179
12.7%
s 54373
12.0%
i 54373
12.0%
r 51606
11.4%
h 51606
11.4%
y 5573
 
1.2%
b 2767
 
0.6%
e 2767
 
0.6%
Other values (3) 8301
 
1.8%

Most occurring scripts

ValueCountFrequency (%)
Latin 451703
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 103212
22.8%
a 59946
13.3%
g 57179
12.7%
s 54373
12.0%
i 54373
12.0%
r 51606
11.4%
h 51606
11.4%
y 5573
 
1.2%
b 2767
 
0.6%
e 2767
 
0.6%
Other values (3) 8301
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 451703
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 103212
22.8%
a 59946
13.3%
g 57179
12.7%
s 54373
12.0%
i 54373
12.0%
r 51606
11.4%
h 51606
11.4%
y 5573
 
1.2%
b 2767
 
0.6%
e 2767
 
0.6%
Other values (3) 8301
 
1.8%

pets
Categorical

MISSING 

Distinct15
Distinct (%)< 0.1%
Missing19921
Missing (%)33.2%
Memory size468.5 KiB
likes dogs and likes cats
14814 
likes dogs
7224 
likes dogs and has cats
4313 
has dogs
4134 
has dogs and likes cats
2333 
Other values (10)
7207 

Length

Max length31
Median length28
Mean length19.227383
Min length8

Characters and Unicode

Total characters769576
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowlikes dogs and likes cats
2nd rowlikes dogs and likes cats
3rd rowhas cats
4th rowlikes cats
5th rowlikes dogs and likes cats

Common Values

ValueCountFrequency (%)
likes dogs and likes cats 14814
24.7%
likes dogs 7224
 
12.1%
likes dogs and has cats 4313
 
7.2%
has dogs 4134
 
6.9%
has dogs and likes cats 2333
 
3.9%
likes dogs and dislikes cats 2029
 
3.4%
has dogs and has cats 1474
 
2.5%
has cats 1406
 
2.3%
likes cats 1063
 
1.8%
has dogs and dislikes cats 552
 
0.9%
Other values (5) 683
 
1.1%
(Missing) 19921
33.2%

Length

2023-09-25T02:34:17.914412image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
likes 46830
29.6%
dogs 37434
23.7%
cats 28623
18.1%
and 26032
16.5%
has 15767
 
10.0%
dislikes 3460
 
2.2%

Most occurring characters

ValueCountFrequency (%)
s 135574
17.6%
118121
15.3%
a 70422
9.2%
d 66926
8.7%
i 53750
 
7.0%
l 50290
 
6.5%
k 50290
 
6.5%
e 50290
 
6.5%
o 37434
 
4.9%
g 37434
 
4.9%
Other values (4) 99045
12.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 651455
84.7%
Space Separator 118121
 
15.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 135574
20.8%
a 70422
10.8%
d 66926
10.3%
i 53750
 
8.3%
l 50290
 
7.7%
k 50290
 
7.7%
e 50290
 
7.7%
o 37434
 
5.7%
g 37434
 
5.7%
c 28623
 
4.4%
Other values (3) 70422
10.8%
Space Separator
ValueCountFrequency (%)
118121
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 651455
84.7%
Common 118121
 
15.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 135574
20.8%
a 70422
10.8%
d 66926
10.3%
i 53750
 
8.3%
l 50290
 
7.7%
k 50290
 
7.7%
e 50290
 
7.7%
o 37434
 
5.7%
g 37434
 
5.7%
c 28623
 
4.4%
Other values (3) 70422
10.8%
Common
ValueCountFrequency (%)
118121
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 769576
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
s 135574
17.6%
118121
15.3%
a 70422
9.2%
d 66926
8.7%
i 53750
 
7.0%
l 50290
 
6.5%
k 50290
 
6.5%
e 50290
 
6.5%
o 37434
 
4.9%
g 37434
 
4.9%
Other values (4) 99045
12.9%

religion
Categorical

MISSING 

Distinct45
Distinct (%)0.1%
Missing20226
Missing (%)33.7%
Memory size468.5 KiB
agnosticism
2724 
other
2691 
agnosticism but not too serious about it
 
2636
agnosticism and laughing about it
 
2496
catholicism but not too serious about it
 
2318
Other values (40)
26855 

Length

Max length42
Median length36
Mean length27.518202
Min length5

Characters and Unicode

Total characters1093023
Distinct characters21
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowagnosticism and very serious about it
2nd rowagnosticism but not too serious about it
3rd rowatheism
4th rowchristianity
5th rowchristianity but not too serious about it

Common Values

ValueCountFrequency (%)
agnosticism 2724
 
4.5%
other 2691
 
4.5%
agnosticism but not too serious about it 2636
 
4.4%
agnosticism and laughing about it 2496
 
4.2%
catholicism but not too serious about it 2318
 
3.9%
atheism 2175
 
3.6%
other and laughing about it 2119
 
3.5%
atheism and laughing about it 2074
 
3.5%
christianity 1957
 
3.3%
christianity but not too serious about it 1952
 
3.3%
Other values (35) 16578
27.7%
(Missing) 20226
33.7%

Length

2023-09-25T02:34:18.038750image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
about 27939
15.3%
it 27939
15.3%
serious 18944
10.4%
and 15727
8.6%
but 12212
6.7%
not 12212
6.7%
too 12212
6.7%
laughing 8995
 
4.9%
agnosticism 8812
 
4.8%
other 7743
 
4.2%
Other values (9) 29897
16.4%

Most occurring characters

ValueCountFrequency (%)
142912
13.1%
t 136902
12.5%
i 113449
10.4%
o 109348
10.0%
a 86756
7.9%
s 83193
 
7.6%
u 73586
 
6.7%
n 51983
 
4.8%
b 42099
 
3.9%
h 41182
 
3.8%
Other values (11) 211613
19.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 950111
86.9%
Space Separator 142912
 
13.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 136902
14.4%
i 113449
11.9%
o 109348
11.5%
a 86756
9.1%
s 83193
8.8%
u 73586
7.7%
n 51983
 
5.5%
b 42099
 
4.4%
h 41182
 
4.3%
e 40404
 
4.3%
Other values (10) 171209
18.0%
Space Separator
ValueCountFrequency (%)
142912
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 950111
86.9%
Common 142912
 
13.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 136902
14.4%
i 113449
11.9%
o 109348
11.5%
a 86756
9.1%
s 83193
8.8%
u 73586
7.7%
n 51983
 
5.5%
b 42099
 
4.4%
h 41182
 
4.3%
e 40404
 
4.3%
Other values (10) 171209
18.0%
Common
ValueCountFrequency (%)
142912
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1093023
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
142912
13.1%
t 136902
12.5%
i 113449
10.4%
o 109348
10.0%
a 86756
7.9%
s 83193
 
7.6%
u 73586
 
6.7%
n 51983
 
4.8%
b 42099
 
3.9%
h 41182
 
3.8%
Other values (11) 211613
19.4%

sex
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size468.5 KiB
m
35829 
f
24117 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters59946
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowm
2nd rowm
3rd rowm
4th rowm
5th rowm

Common Values

ValueCountFrequency (%)
m 35829
59.8%
f 24117
40.2%

Length

2023-09-25T02:34:18.159335image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-25T02:34:18.333170image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
m 35829
59.8%
f 24117
40.2%

Most occurring characters

ValueCountFrequency (%)
m 35829
59.8%
f 24117
40.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 59946
100.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
m 35829
59.8%
f 24117
40.2%

Most occurring scripts

ValueCountFrequency (%)
Latin 59946
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
m 35829
59.8%
f 24117
40.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 59946
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
m 35829
59.8%
f 24117
40.2%

sign
Categorical

MISSING 

Distinct48
Distinct (%)0.1%
Missing11056
Missing (%)18.4%
Memory size468.5 KiB
gemini and it&rsquo;s fun to think about
 
1782
scorpio and it&rsquo;s fun to think about
 
1772
leo and it&rsquo;s fun to think about
 
1692
libra and it&rsquo;s fun to think about
 
1649
taurus and it&rsquo;s fun to think about
 
1640
Other values (43)
40355 

Length

Max length45
Median length40
Mean length29.6793
Min length3

Characters and Unicode

Total characters1451021
Distinct characters24
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowgemini
2nd rowcancer
3rd rowpisces but it doesn&rsquo;t matter
4th rowpisces
5th rowaquarius

Common Values

ValueCountFrequency (%)
gemini and it&rsquo;s fun to think about 1782
 
3.0%
scorpio and it&rsquo;s fun to think about 1772
 
3.0%
leo and it&rsquo;s fun to think about 1692
 
2.8%
libra and it&rsquo;s fun to think about 1649
 
2.8%
taurus and it&rsquo;s fun to think about 1640
 
2.7%
cancer and it&rsquo;s fun to think about 1597
 
2.7%
pisces and it&rsquo;s fun to think about 1592
 
2.7%
sagittarius and it&rsquo;s fun to think about 1583
 
2.6%
virgo and it&rsquo;s fun to think about 1574
 
2.6%
aries and it&rsquo;s fun to think about 1573
 
2.6%
Other values (38) 32436
54.1%
(Missing) 11056
 
18.4%

Length

2023-09-25T02:34:18.510523image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
and 20008
 
8.5%
it&rsquo;s 19333
 
8.2%
fun 19333
 
8.2%
to 19333
 
8.2%
think 19333
 
8.2%
about 19333
 
8.2%
it 17433
 
7.4%
but 16758
 
7.1%
doesn&rsquo;t 16758
 
7.1%
matter 16758
 
7.1%
Other values (15) 50915
21.6%

Most occurring characters

ValueCountFrequency (%)
186405
12.8%
t 175846
12.1%
o 112546
 
7.8%
u 111593
 
7.7%
s 104824
 
7.2%
i 100521
 
6.9%
r 93357
 
6.4%
a 93304
 
6.4%
n 87521
 
6.0%
e 55016
 
3.8%
Other values (14) 330088
22.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1192434
82.2%
Space Separator 186405
 
12.8%
Other Punctuation 72182
 
5.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 175846
14.7%
o 112546
9.4%
u 111593
9.4%
s 104824
8.8%
i 100521
8.4%
r 93357
7.8%
a 93304
7.8%
n 87521
7.3%
e 55016
 
4.6%
b 40298
 
3.4%
Other values (11) 217608
18.2%
Other Punctuation
ValueCountFrequency (%)
& 36091
50.0%
; 36091
50.0%
Space Separator
ValueCountFrequency (%)
186405
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1192434
82.2%
Common 258587
 
17.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 175846
14.7%
o 112546
9.4%
u 111593
9.4%
s 104824
8.8%
i 100521
8.4%
r 93357
7.8%
a 93304
7.8%
n 87521
7.3%
e 55016
 
4.6%
b 40298
 
3.4%
Other values (11) 217608
18.2%
Common
ValueCountFrequency (%)
186405
72.1%
& 36091
 
14.0%
; 36091
 
14.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1451021
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
186405
12.8%
t 175846
12.1%
o 112546
 
7.8%
u 111593
 
7.7%
s 104824
 
7.2%
i 100521
 
6.9%
r 93357
 
6.4%
a 93304
 
6.4%
n 87521
 
6.0%
e 55016
 
3.8%
Other values (14) 330088
22.7%

smokes
Categorical

IMBALANCE  MISSING 

Distinct5
Distinct (%)< 0.1%
Missing5512
Missing (%)9.2%
Memory size468.5 KiB
no
43896 
sometimes
 
3787
when drinking
 
3040
yes
 
2231
trying to quit
 
1480

Length

Max length14
Median length2
Mean length3.4685674
Min length2

Characters and Unicode

Total characters188808
Distinct characters17
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowsometimes
2nd rowno
3rd rowno
4th rowno
5th rowno

Common Values

ValueCountFrequency (%)
no 43896
73.2%
sometimes 3787
 
6.3%
when drinking 3040
 
5.1%
yes 2231
 
3.7%
trying to quit 1480
 
2.5%
(Missing) 5512
 
9.2%

Length

2023-09-25T02:34:18.632310image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-25T02:34:18.852103image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
no 43896
72.6%
sometimes 3787
 
6.3%
when 3040
 
5.0%
drinking 3040
 
5.0%
yes 2231
 
3.7%
trying 1480
 
2.4%
to 1480
 
2.4%
quit 1480
 
2.4%

Most occurring characters

ValueCountFrequency (%)
n 54496
28.9%
o 49163
26.0%
e 12845
 
6.8%
i 12827
 
6.8%
s 9805
 
5.2%
t 8227
 
4.4%
m 7574
 
4.0%
6000
 
3.2%
g 4520
 
2.4%
r 4520
 
2.4%
Other values (7) 18831
 
10.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 182808
96.8%
Space Separator 6000
 
3.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 54496
29.8%
o 49163
26.9%
e 12845
 
7.0%
i 12827
 
7.0%
s 9805
 
5.4%
t 8227
 
4.5%
m 7574
 
4.1%
g 4520
 
2.5%
r 4520
 
2.5%
y 3711
 
2.0%
Other values (6) 15120
 
8.3%
Space Separator
ValueCountFrequency (%)
6000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 182808
96.8%
Common 6000
 
3.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 54496
29.8%
o 49163
26.9%
e 12845
 
7.0%
i 12827
 
7.0%
s 9805
 
5.4%
t 8227
 
4.5%
m 7574
 
4.1%
g 4520
 
2.5%
r 4520
 
2.5%
y 3711
 
2.0%
Other values (6) 15120
 
8.3%
Common
ValueCountFrequency (%)
6000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 188808
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 54496
28.9%
o 49163
26.0%
e 12845
 
6.8%
i 12827
 
6.8%
s 9805
 
5.2%
t 8227
 
4.4%
m 7574
 
4.0%
6000
 
3.2%
g 4520
 
2.4%
r 4520
 
2.4%
Other values (7) 18831
 
10.0%

speaks
Text

Distinct7647
Distinct (%)12.8%
Missing50
Missing (%)0.1%
Memory size468.5 KiB
2023-09-25T02:34:19.367034image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length107
Median length102
Mean length26.552391
Min length7

Characters and Unicode

Total characters1590382
Distinct characters30
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5993 ?
Unique (%)10.0%

Sample

1st rowenglish
2nd rowenglish (fluently), spanish (poorly), french (poorly)
3rd rowenglish, french, c++
4th rowenglish, german (poorly)
5th rowenglish
ValueCountFrequency (%)
english 60350
32.2%
fluently 39086
20.8%
poorly 20538
 
11.0%
spanish 16315
 
8.7%
okay 16001
 
8.5%
french 7852
 
4.2%
chinese 3663
 
2.0%
german 3083
 
1.6%
japanese 2188
 
1.2%
italian 2181
 
1.2%
Other values (71) 16270
 
8.7%
2023-09-25T02:34:20.200768image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 164572
 
10.3%
n 142760
 
9.0%
e 131713
 
8.3%
127631
 
8.0%
s 106734
 
6.7%
i 94550
 
5.9%
h 92825
 
5.8%
y 75881
 
4.8%
) 75625
 
4.8%
( 75625
 
4.8%
Other values (20) 502466
31.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1256961
79.0%
Space Separator 127631
 
8.0%
Close Punctuation 75625
 
4.8%
Open Punctuation 75625
 
4.8%
Other Punctuation 50994
 
3.2%
Math Symbol 3546
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 164572
13.1%
n 142760
11.4%
e 131713
10.5%
s 106734
8.5%
i 94550
 
7.5%
h 92825
 
7.4%
y 75881
 
6.0%
g 69327
 
5.5%
o 61343
 
4.9%
a 55122
 
4.4%
Other values (15) 262134
20.9%
Space Separator
ValueCountFrequency (%)
127631
100.0%
Close Punctuation
ValueCountFrequency (%)
) 75625
100.0%
Open Punctuation
ValueCountFrequency (%)
( 75625
100.0%
Other Punctuation
ValueCountFrequency (%)
, 50994
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3546
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1256961
79.0%
Common 333421
 
21.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 164572
13.1%
n 142760
11.4%
e 131713
10.5%
s 106734
8.5%
i 94550
 
7.5%
h 92825
 
7.4%
y 75881
 
6.0%
g 69327
 
5.5%
o 61343
 
4.9%
a 55122
 
4.4%
Other values (15) 262134
20.9%
Common
ValueCountFrequency (%)
127631
38.3%
) 75625
22.7%
( 75625
22.7%
, 50994
 
15.3%
+ 3546
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1590382
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 164572
 
10.3%
n 142760
 
9.0%
e 131713
 
8.3%
127631
 
8.0%
s 106734
 
6.7%
i 94550
 
5.9%
h 92825
 
5.8%
y 75881
 
4.8%
) 75625
 
4.8%
( 75625
 
4.8%
Other values (20) 502466
31.6%

status
Categorical

IMBALANCE 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size468.5 KiB
single
55697 
seeing someone
 
2064
available
 
1865
married
 
310
unknown
 
10

Length

Max length14
Median length6
Mean length6.37412
Min length6

Characters and Unicode

Total characters382103
Distinct characters17
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowsingle
2nd rowsingle
3rd rowavailable
4th rowsingle
5th rowsingle

Common Values

ValueCountFrequency (%)
single 55697
92.9%
seeing someone 2064
 
3.4%
available 1865
 
3.1%
married 310
 
0.5%
unknown 10
 
< 0.1%

Length

2023-09-25T02:34:20.492211image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-25T02:34:20.801653image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
single 55697
89.8%
seeing 2064
 
3.3%
someone 2064
 
3.3%
available 1865
 
3.0%
married 310
 
0.5%
unknown 10
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
e 66128
17.3%
i 59936
15.7%
n 59855
15.7%
s 59825
15.7%
l 59427
15.6%
g 57761
15.1%
a 5905
 
1.5%
o 4138
 
1.1%
m 2374
 
0.6%
2064
 
0.5%
Other values (7) 4690
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 380039
99.5%
Space Separator 2064
 
0.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 66128
17.4%
i 59936
15.8%
n 59855
15.7%
s 59825
15.7%
l 59427
15.6%
g 57761
15.2%
a 5905
 
1.6%
o 4138
 
1.1%
m 2374
 
0.6%
v 1865
 
0.5%
Other values (6) 2825
 
0.7%
Space Separator
ValueCountFrequency (%)
2064
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 380039
99.5%
Common 2064
 
0.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 66128
17.4%
i 59936
15.8%
n 59855
15.7%
s 59825
15.7%
l 59427
15.6%
g 57761
15.2%
a 5905
 
1.6%
o 4138
 
1.1%
m 2374
 
0.6%
v 1865
 
0.5%
Other values (6) 2825
 
0.7%
Common
ValueCountFrequency (%)
2064
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 382103
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 66128
17.3%
i 59936
15.7%
n 59855
15.7%
s 59825
15.7%
l 59427
15.6%
g 57761
15.1%
a 5905
 
1.5%
o 4138
 
1.1%
m 2374
 
0.6%
2064
 
0.5%
Other values (7) 4690
 
1.2%

Interactions

2023-09-25T02:33:43.672365image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-25T02:33:42.239521image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-25T02:33:42.962367image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-25T02:33:43.937993image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-25T02:33:42.475519image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-25T02:33:43.202255image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-25T02:33:44.170630image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-25T02:33:42.706518image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-09-25T02:33:43.448853image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Correlations

2023-09-25T02:34:21.119724image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ageheightincomebody_typedietdrinksdrugseducationjoboffspringorientationpetsreligionsexsignsmokesstatus
age1.000-0.0090.0210.0570.0510.0640.1030.1750.1650.2490.0540.0710.0900.0520.0270.0850.041
height-0.0091.0000.1090.1070.0380.0330.0630.0390.0760.0320.0630.0460.0620.6380.0460.0200.013
income0.0210.1091.0000.0630.0530.0410.0670.0790.1000.0490.0390.0260.0450.1160.0380.0300.008
body_type0.0570.1070.0631.0000.0480.0870.0870.0750.0740.0520.1080.0570.0590.4050.0440.0740.044
diet0.0510.0380.0530.0481.0000.0960.1080.0510.0430.0540.0910.0510.1650.1520.0500.0370.040
drinks0.0640.0330.0410.0870.0961.0000.2080.0790.0640.0880.0380.0580.1080.0340.0470.1160.026
drugs0.1030.0630.0670.0870.1080.2081.0000.1540.1330.1480.1120.0980.1980.0570.0830.2650.092
education0.1750.0390.0790.0750.0510.0790.1541.0000.2250.0700.0750.0560.0580.1180.0320.1460.047
job0.1650.0760.1000.0740.0430.0640.1330.2251.0000.0700.0970.0570.0720.3030.0360.0970.047
offspring0.2490.0320.0490.0520.0540.0880.1480.0700.0701.0000.1810.0750.1020.1190.0520.0650.106
orientation0.0540.0630.0390.1080.0910.0380.1120.0750.0970.1811.0000.0760.1040.1580.0650.0620.145
pets0.0710.0460.0260.0570.0510.0580.0980.0560.0570.0750.0761.0000.0870.1870.0480.0530.062
religion0.0900.0620.0450.0590.1650.1080.1980.0580.0720.1020.1040.0871.0000.1650.0780.0720.074
sex0.0520.6380.1160.4050.1520.0340.0570.1180.3030.1190.1580.1870.1651.0000.1390.0460.036
sign0.0270.0460.0380.0440.0500.0470.0830.0320.0360.0520.0650.0480.0780.1391.0000.0470.030
smokes0.0850.0200.0300.0740.0370.1160.2650.1460.0970.0650.0620.0530.0720.0460.0471.0000.009
status0.0410.0130.0080.0440.0400.0260.0920.0470.0470.1060.1450.0620.0740.0360.0300.0091.000

Missing values

2023-09-25T02:33:44.713516image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
A simple visualization of nullity by column.
2023-09-25T02:33:45.887197image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-09-25T02:33:48.551266image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

agebody_typedietdrinksdrugseducationessay0essay1essay2essay3essay4essay5essay6essay7essay8essay9ethnicityheightincomejoblast_onlinelocationoffspringorientationpetsreligionsexsignsmokesspeaksstatus
022a little extrastrictly anythingsociallyneverworking on college/universityabout me:<br />\n<br />\ni would love to think that i was some some kind of intellectual:\neither the dumbest smart guy, or the smartest dumb guy. can't say i\ncan tell the difference. i love to talk about ideas and concepts. i\nforge odd metaphors instead of reciting cliches. like the\nsimularities between a friend of mine's house and an underwater\nsalt mine. my favorite word is salt by the way (weird choice i\nknow). to me most things in life are better as metaphors. i seek to\nmake myself a little better everyday, in some productively lazy\nway. got tired of tying my shoes. considered hiring a five year\nold, but would probably have to tie both of our shoes... decided to\nonly wear leather shoes dress shoes.<br />\n<br />\nabout you:<br />\n<br />\nyou love to have really serious, really deep conversations about\nreally silly stuff. you have to be willing to snap me out of a\nlight hearted rant with a kiss. you don't have to be funny, but you\nhave to be able to make me laugh. you should be able to bend spoons\nwith your mind, and telepathically make me smile while i am still\nat work. you should love life, and be cool with just letting the\nwind blow. extra points for reading all this and guessing my\nfavorite video game (no hints given yet). and lastly you have a\ngood attention span.currently working as an international agent for a freight\nforwarding company. import, export, domestic you know the\nworks.<br />\nonline classes and trying to better myself in my free time. perhaps\na hours worth of a good book or a video game on a lazy sunday.making people laugh.<br />\nranting about a good salting.<br />\nfinding simplicity in complexity, and complexity in simplicity.the way i look. i am a six foot half asian, half caucasian mutt. it\nmakes it tough not to notice me, and for me to blend in.books:<br />\nabsurdistan, the republic, of mice and men (only book that made me\nwant to cry), catcher in the rye, the prince.<br />\n<br />\nmovies:<br />\ngladiator, operation valkyrie, the producers, down periscope.<br />\n<br />\nshows:<br />\nthe borgia, arrested development, game of thrones, monty\npython<br />\n<br />\nmusic:<br />\naesop rock, hail mary mallon, george thorogood and the delaware\ndestroyers, felt<br />\n<br />\nfood:<br />\ni'm down for anything.food.<br />\nwater.<br />\ncell phone.<br />\nshelter.duality and humorous thingstrying to find someone to hang out with. i am down for anything\nexcept a club.i am new to california and looking for someone to wisper my secrets\nto.you want to be swept off your feet!<br />\nyou are tired of the norm.<br />\nyou want to catch a coffee or a bite.<br />\nor if you want to talk philosophy.asian, white75.0-1transportation2012-06-28-20-30south san francisco, californiadoesn&rsquo;t have kids, but might want themstraightlikes dogs and likes catsagnosticism and very serious about itmgeminisometimesenglishsingle
135averagemostly otheroftensometimesworking on space campi am a chef: this is what that means.<br />\n1. i am a workaholic.<br />\n2. i love to cook regardless of whether i am at work.<br />\n3. i love to drink and eat foods that are probably really bad for\nme.<br />\n4. i love being around people that resemble line 1-3.<br />\ni love the outdoors and i am an avid skier. if its snowing i will\nbe in tahoe at the very least. i am a very confident and friendly.\ni'm not interested in acting or being a typical guy. i have no time\nor patience for rediculous acts of territorial pissing. overall i\nam a very likable easygoing individual. i am very adventurous and\nalways looking forward to doing new things and hopefully sharing it\nwith the right person.dedicating everyday to being an unbelievable badass.being silly. having ridiculous amonts of fun wherever. being a\nsmart ass. ohh and i can cook. ;)NaNi am die hard christopher moore fan. i don't really watch a lot of\ntv unless there is humor involved. i am kind of stuck on 90's\nalternative music. i am pretty much a fan of everything though... i\ndo need to draw a line at most types of electronica.delicious porkness in all of its glories.<br />\nmy big ass doughboy's sinking into 15 new inches.<br />\nmy overly resilient liver.<br />\na good sharp knife.<br />\nmy ps3... it plays blurays too. ;)<br />\nmy over the top energy and my outlook on life... just give me a bag\nof lemons and see what happens. ;)NaNNaNi am very open and will share just about anything.NaNwhite70.080000hospitality / travel2012-06-29-21-41oakland, californiadoesn&rsquo;t have kids, but might want themstraightlikes dogs and likes catsagnosticism but not too serious about itmcancernoenglish (fluently), spanish (poorly), french (poorly)single
238thinanythingsociallyNaNgraduated from masters programi'm not ashamed of much, but writing public text on an online\ndating site makes me pleasantly uncomfortable. i'll try to be as\nearnest as possible in the noble endeavor of standing naked before\nthe world.<br />\n<br />\ni've lived in san francisco for 15 years, and both love it and find\nmyself frustrated with its deficits. lots of great friends and\nacquaintances (which increases my apprehension to put anything on\nthis site), but i'm feeling like meeting some new people that\naren't just friends of friends. it's okay if you are a friend of a\nfriend too. chances are, if you make it through the complex\nfiltering process of multiple choice questions, lifestyle\nstatistics, photo scanning, and these indulgent blurbs of text\nwithout moving quickly on to another search result, you are\nprobably already a cultural peer and at most 2 people removed. at\nfirst, i thought i should say as little as possible here to avoid\nyou, but that seems silly.<br />\n<br />\nas far as culture goes, i'm definitely more on the weird side of\nthe spectrum, but i don't exactly wear it on my sleeve. once you\nget me talking, it will probably become increasingly apparent that\nwhile i'd like to think of myself as just like everybody else (and\nby some definition i certainly am), most people don't see me that\nway. that's fine with me. most of the people i find myself\ngravitating towards are pretty weird themselves. you probably are\ntoo.i make nerdy software for musicians, artists, and experimenters to\nindulge in their own weirdness, but i like to spend time away from\nthe computer when working on my artwork (which is typically more\nconcerned with group dynamics and communication, than with visual\nform, objects, or technology). i also record and deejay dance,\nnoise, pop, and experimental music (most of which electronic or at\nleast studio based). besides these relatively ego driven\nactivities, i've been enjoying things like meditation and tai chi\nto try and gently flirt with ego death.improvising in different contexts. alternating between being\npresent and decidedly outside of a moment, or trying to hold both\nat once. rambling intellectual conversations that hold said\nconversations in contempt while seeking to find something that\ntranscends them. being critical while remaining generous. listening\nto and using body language--often performed in caricature or large\ngestures, if not outright interpretive dance. dry, dark, and\nraunchy humor.my large jaw and large glasses are the physical things people\ncomment on the most. when sufficiently stimulated, i have an\nunmistakable cackle of a laugh. after that, it goes in more\ndirections than i care to describe right now. maybe i'll come back\nto this.okay this is where the cultural matrix gets so specific, it's like\nbeing in the crosshairs.<br />\n<br />\nfor what it's worth, i find myself reading more non-fiction than\nfiction. it's usually some kind of philosophy, art, or science text\nby silly authors such as ranciere, de certeau, bataille,\nbaudrillard, butler, stein, arendt, nietzche, zizek, etc. i'll\noften throw in some weird new age or pop-psychology book in the mix\nas well. as for fiction, i enjoy what little i've read of eco,\nperec, wallace, bolao, dick, vonnegut, atwood, delilo, etc. when i\nwas young, i was a rabid asimov reader.<br />\n<br />\ndirectors i find myself drawn to are makavejev, kuchar, jodorowsky,\nherzog, hara, klein, waters, verhoeven, ackerman, hitchcock, lang,\ngorin, goddard, miike, ohbayashi, tarkovsky, sokurov, warhol, etc.\nbut i also like a good amount of "trashy" stuff. too much to\nname.<br />\n<br />\ni definitely enjoy the character development that happens in long\nform episodic television over the course of 10-100 episodes, which\na 1-2hr movie usually can't compete with. some of my recent tv\nfavorites are: breaking bad, the wire, dexter, true blood, the\nprisoner, lost, fringe.<br />\n<br />\na smattered sampling of the vast field of music i like and deejay:\nart ensemble, sun ra, evan parker, lil wayne, dj funk, mr. fingers,\nmaurizio, rob hood, dan bell, james blake, nonesuch recordings,\nomar souleyman, ethiopiques, fela kuti, john cage, meredith monk,\nrobert ashley, terry riley, yoko ono, merzbow, tom tom club, jit,\njuke, bounce, hyphy, snap, crunk, b'more, kuduro, pop, noise, jazz,\ntechno, house, acid, new/no wave, (post)punk, etc.<br />\n<br />\na few of the famous art/dance/theater folk that might locate my\nsensibility: andy warhol, bruce nauman, yayoi kusama, louise\nbourgeois, tino sehgal, george kuchar, michel duchamp, marina\nabramovic, gelatin, carolee schneeman, gustav metzger, mike kelly,\nmike smith, andrea fraser, gordon matta-clark, jerzy grotowski,\nsamuel beckett, antonin artaud, tadeusz kantor, anna halperin,\nmerce cunningham, etc. i'm clearly leaving out a younger generation\nof contemporary artists, many of whom are friends.<br />\n<br />\nlocal food regulars: sushi zone, chow, ppq, pagolac, lers ros,\nburma superstar, minako, shalimar, delfina pizza, rosamunde,\narinells, suppenkuche, cha-ya, blue plate, golden era, etc.movement<br />\nconversation<br />\ncreation<br />\ncontemplation<br />\ntouch<br />\nhumorNaNviewing. listening. dancing. talking. drinking. performing.when i was five years old, i was known as "the boogerman".you are bright, open, intense, silly, ironic, critical, caring,\ngenerous, looking for an exploration, rather than finding "a match"\nof some predetermined qualities.<br />\n<br />\ni'm currently in a fabulous and open relationship, so you should be\ncomfortable with that.NaN68.0-1NaN2012-06-27-09-10san francisco, californiaNaNstraighthas catsNaNmpisces but it doesn&rsquo;t matternoenglish, french, c++available
323thinvegetariansociallyNaNworking on college/universityi work in a library and go to school. . .reading things written by old dead peopleplaying synthesizers and organizing books according to the library\nof congress classification systemsocially awkward but i do my bestbataille, celine, beckett. . .<br />\nlynch, jarmusch, r.w. fassbender. . .<br />\ntwin peaks &amp; fishing w/ john<br />\njoy division, throbbing gristle, cabaret voltaire. . .<br />\nvegetarian pho and coffeeNaNcats and german philosophyNaNNaNyou feel so inclined.white71.020000student2012-06-28-14-22berkeley, californiadoesn&rsquo;t want kidsstraightlikes catsNaNmpiscesnoenglish, german (poorly)single
429athleticNaNsociallynevergraduated from college/universityhey how's it going? currently vague on the profile i know, more to\ncome soon. looking to meet new folks outside of my circle of\nfriends. i'm pretty responsive on the reply tip, feel free to drop\na line. cheers.work work work work + playcreating imagery to look at:<br />\nhttp://bagsbrown.blogspot.com/<br />\nhttp://stayruly.blogspot.com/i smile a lot and my inquisitive naturemusic: bands, rappers, musicians<br />\nat the moment: thee oh sees.<br />\nforever: wu-tang<br />\nbooks: artbooks for days<br />\naudiobooks: my collection, thick (thanks audible)<br />\nshows: live ones<br />\nfood: with stellar friends whenever<br />\nmovies &gt; tv<br />\npodcast: radiolab, this american life, the moth, joe rogan, the\nchampsNaNNaNNaNNaNNaNasian, black, other66.0-1artistic / musical / writer2012-06-27-21-26san francisco, californiaNaNstraightlikes dogs and likes catsNaNmaquariusnoenglishsingle
529averagemostly anythingsociallyNaNgraduated from college/universityi'm an australian living in san francisco, but don't hold that\nagainst me. i spend most of my days trying to build cool stuff for\nmy company. i speak mandarin and have been known to bust out\nchinese songs at karaoke. i'm pretty cheeky. someone asked me if\nthat meant something about my arse, which i find really\nfunny.<br />\n<br />\ni'm a little oddball. i have a wild imagination; i like to think of\nthe most improbable reasons people are doing things just for fun. i\nlove to laugh and look for reasons to do so. occasionally this gets\nme in trouble because people think i'm laughing at them. sometimes\ni am, but more often i'm only laughing at myself.<br />\n<br />\ni'm an entrepreneur (like everyone else in sf, it seems) and i love\nwhat i do. i enjoy parties and downtime in equal measure.\nintelligence really turns me on and i love people who can teach me\nnew things.building awesome stuff. figuring out what's important. having\nadventures. looking for treasure.imagining random shit. laughing at aforementioned random shit.\nbeing goofy. articulating what i think and feel. convincing people\ni'm right. admitting when i'm wrong.<br />\n<br />\ni'm also pretty good at helping people think through problems; my\nfriends say i give good advice. and when i don't have a clue how to\nhelp, i will say: i give pretty good hug.i have a big smile. i also get asked if i'm wearing blue-coloured\ncontacts (no).books: to kill a mockingbird, lord of the rings, 1984, the farseer\ntrilogy.<br />\n<br />\nmusic: the beatles, frank sinatra, john mayer, jason mraz,\ndeadmau5, andrew bayer, everything on anjunadeep records, bach,\nsatie.<br />\n<br />\ntv shows: how i met your mother, scrubs, the west wing, breaking\nbad.<br />\n<br />\nmovies: star wars, the godfather pt ii, 500 days of summer,\nnapoleon dynamite, american beauty, lotr<br />\n<br />\nfood: thai, vietnamese, shanghai dumplings, pizza!like everyone else, i love my friends and family, and need hugs,\nhuman contact, water and sunshine. let's take that as given.<br />\n<br />\n1. something to build<br />\n2. something to sing<br />\n3. something to play on (my guitar would be first choice)<br />\n4. something to write/draw on<br />\n5. a big goal worth dreaming about<br />\n6. something to laugh atwhat my contribution to the world is going to be and/or should be.\nand what's for breakfast. i love breakfast.out with my friends!i cried on my first day at school because a bird shat on my head.\ntrue story.you're awesome.white67.0-1computer / hardware / software2012-06-29-19-18san francisco, californiadoesn&rsquo;t have kids, but might want themstraightlikes catsatheismmtaurusnoenglish (fluently), chinese (okay)single
632fitstrictly anythingsociallynevergraduated from college/universitylife is about the little things. i love to laugh. it's easy to do\nwhen one can find beauty and humor in the ugly. this perspective\nmakes for a more gratifying life. it's a gift. we are here to play.digging up buried treasurefrolicking<br />\nwitty banter<br />\nusing my camera to extract sums of a whole and share my perspective\nwith the world in hopes of opening up theirs<br />\nbeing amused by things most people would missi am the last unicorni like books. ones with pictures. reading them is great too. where\ndo people find the time? i spend more time with other people not\nreading. i collect books. they sit neatly on my bookshelves.<br />\n<br />\nmovies are great. especially on movie night. with brownies.<br />\n<br />\nmusic. i love (love) it all. unless it's country.<br />\n<br />\ni love food.laughter<br />\namazing people in my life<br />\ncolor<br />\ncuriosity<br />\nmusic and rhythm<br />\na good pair of sunglassessynchronicity<br />\n<br />\nthere is this whole other realm where the fabrics of our life\nstories intersect as they dance and play in a magical burst of\nenergy. this realm doesn't need you to believe in it in order to\nmaintain. it is a cluster of synchronicities and happenings. it is\na gift to those who notice them. something to be treasured\nappreciated. there is something special in each and every moment\nthat you experience in your daily waking life. this something\nbrings us back to the age old question: if a tree falls in the\nforest and no one is there to hear it, does it make a sound? this\nworks in the same way. if you are not consciously there to hear it,\nsee it, taste it, smell it, feel it none of this matters, it's\nstill there. pay attention to the little things, those that are\noften overlooked. see if you can find the magic in this gift we\ncall life.plotting to take over the world with my army of segway riding\npandas and fire breathing kittensmy typical friday nightNaNwhite, other65.0-1NaN2012-06-25-20-45san francisco, californiaNaNstraightlikes dogs and likes catsNaNfvirgoNaNenglishsingle
731averagemostly anythingsociallynevergraduated from college/universityNaNwriting. meeting new people, spending time with friends, seeing\nfilms, going to literary events and lectures, sifting through\nbookstores and thrift stores, exploring the city. i also work full\ntime at an interactive agency.remembering people's birthdays, sending cards, being thoughtful,\narm wrestlingi'm rather approachable (a byproduct of being from a small town in\nthe midwest).i like: alphabetized lists, aquariums, autobiographies, beer on\ntap, ben folds, biking, brunch, citrus, cocktails, color, comfort\nfood, craft projects, dancing, design, diy, essays, fabric stores,\nfield trips, flea markets, foreign films, glee, good, hammond\norgans, helping lost tourists, indie rock, ice cream, languages,\nlectures, letterpress, libraries, literary fiction, live shows, mad\nmen, martha stewart living, memoir, mix tapes, non-fiction, npr,\nplants, puns, sewing, short stories, siestas, singer-songwriters,\nspicy food, stationery, storytelling, sufjan stevens, talking to\nstrangers, tea, tegan and sara, the office, 30 rock, travel,\nquilts, quirky movies, wes anderson, wine, writing, yoga.friends, family, notebook/pen, books, music, travelthings that amuse and inspire meout and about or relaxing at home with a good book or netflixNaNNaNwhite65.0-1artistic / musical / writer2012-06-29-12-30san francisco, californiadoesn&rsquo;t have kids, but wants themstraightlikes dogs and likes catschristianityfsagittariusnoenglish, spanish (okay)single
824NaNstrictly anythingsociallyNaNgraduated from college/universityNaNoh goodness. at the moment i have 4 jobs, so it'd be nice to find\none i could settle into. other than that, i'm making sure i'm\nsurrounded by good people and keeping happy and activeNaNi'm freakishly blonde and have the same name as that hurricane from\na while back.i am always willing to try new foods and am not too picky. i do\nhowever have an extremely low tolerance to spicy food, i'm working\non it tho... i've already conquered pouring chipotle hot sauce all\nover my burritos. guess i still have a long ways to go. one of my\nfavorite spots in marin is sol food-- simply delicious puerto rican\nfood.<br />\n<br />\nlove to laugh so i like to watch a fair amount of comedies-\nromantic, dark or otherwise. princess bride, pixar!, fear and\nloathing, caddyshack, thomas crown affair, the birdcage ("chewing\ngum helps me think"... "sweetie, you're wasting your gum!"), the\nbig lebowski, star wars (don't judge)<br />\n<br />\ni like historical fiction, murder mysteries, fantasy,\nutopian/dystopia, and, uh, the occasional romance book. just\nstarted the historian and trying to decide whether or not to read\nthe hunger games... already saw battle royale and it was pretty\ncool, so i'd imagine that collin's version she ripped off has got\nto be fun to read.<br />\n<br />\ncan't get enough music. like it, love it, want some more of it.\nlove to dance to it and to many peoples dismay, sing to it. pretty\nopen to any kind, even country.\nhttp://www.youtube.com/watch?v=dghbozbsv18&amp;feature=bfa&amp;list=pl01a90d209abe1ed3&amp;lf=plpp_videosports/my softball glove<br />\ncoffee. because nobody likes zombies.<br />\nkindle<br />\nloud music/concerts<br />\ncandlelight showers<br />\noh, my amazing/crazy friends and family<br />\ngirl scout cookies... curse those delectable treats that dethrone\nmy generally reasonable diet-- i could eat a box of those in under\nan hourNaNin or out... drinking with friends, maybe a bar or dancing my pants\noff, watching or playing a gamepotential friends/lovers/people who come in contact with me, beware\n... when alone in my car or the shower, i enjoy singing loudly and\noff key... and even sometimes when i'm not so alone.http://www.youtube.com/watch?v=4dxbwzuwsxk let's have some fun and\nmaybe get into a little troublewhite67.0-1NaN2012-06-29-23-39belvedere tiburon, californiadoesn&rsquo;t have kidsstraightlikes dogs and likes catschristianity but not too serious about itfgemini but it doesn&rsquo;t matterwhen drinkingenglishsingle
937athleticmostly anythingnot at allneverworking on two-year collegemy names jake.<br />\ni'm a creative guy and i look for the same in others.<br />\n<br />\ni'm easy going, practical and i don't have many hang ups. i\nappreciate life and try to live it to the fullest. i'm sober and\nhave been for the past few years.<br />\n<br />\ni love music and i play guitar. i like tons of different bands. i'm\nan artist and i love to paint/draw etc. and i love creative\npeople.<br />\n<br />\ni've got to say i'm not too big on internet dating. you cant really\nget an earnest impression of anyone from a few polished paragraphs.\nbut we'll see, you never know.i have an apartment. i like to explore and check things out. i like\ngood japanese and peruvian food. nothing beats good ceviche on a\nhot day. or a hot chai on a cold one.<br />\n<br />\ni've been working on my a.o.d. certification but have stalled out.\ni'm hoping to pursue art but have yet to find the best venue.\nrecently i've been working on a construction job in belmont. it's\nnot my dream job. but for the time being it affords me other\nopportunities. plus it keeps me in shape, so i shouldn't complain.i'm good at finding creative solutions to problems. i can organize\na living space pretty well. i'm good at making people smile. i'm\ngood at laughing at inappropriate times. and i make a mean bowl of\ncereal.i'm shorti like some tv. i love summer heights high and angry boys. and i\nlove fringe.<br />\n<br />\ni'm reading stiff after finishing elliott smith and the big nothing\n(loved it). i like biographies.<br />\n<br />\ni love music. it would be impossible to list everything i like\nbecause the list grows exponentially. i like george harrison or the\nclash. i like flight of the conchord's, old radiohead and elliott\nsmith. djali zwan, x, the knitters, the kinks, john lennon, floyd,\nnina simone, the smiths, seu jorge, the sex pistols, immortal\ntechnique, al green, dead kennedy's, the beatles, cat stevens, nine\ninch nails, the dead, bob dylan etc.<br />\nmy taste is varied, i love music.<br />\n<br />\nand i love movie's, i like all kinds.<br />\nthese days i'm at netflix more often though.<br />\nand i never miss science friday's.music, my guitar<br />\ncontrast<br />\ngood food<br />\nmy bike<br />\nmy paintbrush<br />\nmy toothbrush<br />\nfamily &amp; friends<br />\n<em>ok....there's seven</em><strong><em>you should</em></strong><strong><em>send a message</em></strong><em><strong>and say hi.</strong></em>you can rock the bellswhite65.0-1student2012-06-28-21-08san mateo, californiaNaNstraightlikes dogs and likes catsatheism and laughing about itmcancer but it doesn&rsquo;t matternoenglish (fluently)single
agebody_typedietdrinksdrugseducationessay0essay1essay2essay3essay4essay5essay6essay7essay8essay9ethnicityheightincomejoblast_onlinelocationoffspringorientationpetsreligionsexsignsmokesspeaksstatus
5993625averagemostly anythingsociallynevergraduated from college/universityNaNNaNNaNmy infectious laugh :)NaNNaNNaNNaNNaNNaNasian61.0-1other2012-06-30-18-17san francisco, californiadoesn&rsquo;t have kidsstraightNaNatheismfvirgo but it doesn&rsquo;t matternoenglish (fluently), chinese (fluently)single
5993732thinanythingsociallyNaNworking on masters programa cautious photo for a cautious dude (i'm having an internal debate\nas we speak about calling myself a dude). i'm sure i'll warm to\nputting one where you can actually see what i look like sometime\nsoon.<br />\n<br />\ndon't search for meaning if i do not respond to your message. this\nis my first time on an online dating site (vultures swoop in...)and\ni'm pretty slow to get things going-with anything. don't be\nsurprised if you here from me a week later.mourning the loss (they broke in ecuador i think) of those\nsunglasses.conscientiousness. adding -ness to words that you can't add it to.\nthough i think it's ok here.probably that i have no hair (unless i'm wearing a hat which is 90%\nof the time because its fucking freezing in the bay area) and that\ni look 20.i get anxious when people ask about favorites. i like all of the\nabove-and not crappy ones. nick hornby totally resonates with me.\noutkast is one of my all-time faves (i'm not sure i like the word\nfave).water. air. food. clothes (if its cold, though i did run naked in\n20 degree weather once (with shoes)). singing. being a smart ass.thinkingwas in class friday nights this past semester.<br />\n<br />\nnow, bemoaning the fact that i'm not doing something better.i wish my sexual preferences were clearer to me. i hope my brain is\nnot the reason for the lack of clarity.<br />\n<br />\nmy fear of stds goes beyond the rational.you don't know what it's all about...white69.0-1education / academia2012-02-17-20-44san francisco, californiaNaNbisexualNaNjudaism and laughing about itmNaNnoenglish, spanish (fluently)single
5993848averageNaNNaNNaNNaNi was born, raised and live in the san francisco bay area, where i\nhave relationships with friends and family and will probably stay\nso that i can continue being close to these people. i have always\nbeen a creative person, painting, drawing, making films and videos\nand i like to hang out with creative people who are interested in\nlife. i love nature and walks in nature. i love to dance.<br />\n<br />\ni am creative, silly, and lovingi have mostly been working in media arts as an educator, video\neditor and producer. lately i'm mostly writing.most things creative. having a broad perspective on life and being\nable to look at and think about big issues and realities while\nkeeping a positive attitude toward life and human beings.i'm approachable.books: lately - eckhart tolle's "a new earth," he breaks it down.\n"the last temptation of christ," the book and film, most art books\nwith pictures, writings by artists about their approaches, john\nlennon's automatic writings in "sky writing by word of mouth" are\nsome of the few writings that will make me laugh out loud.\nself-help books have once guided my life.<br />\nmovies: those that i have watched several times lately include\n"ghost world," "sideways," "vertigo," documentaries, i love any\nfilm that makes me cry, "to sir with love" (with sidney poitier)\nand usually various scenes from the tv film "jesus of\nnazareth."<br />\nmusic: that i have collected over the years include the beatles\n(who will probably always have first billing in my heart especially\nsince i grew up with them, know how to sing many of the songs and\nhave made great connections to others through their music), i love\nduke ellington and that type of jazz and enjoy any music i can\ndance to. since i write a lot i tend to listen to a lot of\ninstrumental classical, jazz, electronica, world and folk music.\ni've had my romances with los lobos, prince, rem, the stones, and\nothers that i temporarily was drawn to absorb and get to\nknow.<br />\nfood: i generally eat anything though i prefer healthy food,\nvegetarian when possible. i'm not very specific around food.other people, my ability to think, the sustenance of life (food,\nair, water, rest, shelter, etc.) obviously, artistic tools,\nhopefulness, lovehow to bring about a healthy and loving world. film and art\nprojects and how to put them together and what to say. how to\nbetter connect with others and my self. the nature of reality and\nthe nature of societies.being social.nothing that will be very useful to you or me at this time.if you feel so compelled.native american, hispanic / latin73.0-1NaN2012-06-14-16-51san francisco, californiadoesn&rsquo;t have kidsstraightlikes dogs and likes catsothermleo and it&rsquo;s fun to think aboutNaNenglishsingle
5993952NaNNaNsociallynevergraduated from college/universityhi there and thanks for checking out my profile! i'm a fun-loving\nguy who is upbeat, loves life, is curious and inquisitive. i have a\ngreat sense of humor, and enjoy spending time with close friends,\ncolleagues, and meeting new people. i'm an executive at a high tech\ncompany and i have a great job that challenges me, lets me be\ncreative, and gives me the opportunity to work with a lot of really\nterrific folks. while i love my work, i believe having a balance\nbetween work and life is very important, so i rarely work on\nevening after i leave work and on weekends. when not at work, i\nlike spending time with friends or just hanging out at home with\ntrixie the cat. i'm an avid reader mostly science fiction, i\nenjoy listening to music and podcasts, and i like spending time\noutdoors walking, hiking, or riding my bicycle. dancing to music\nwith a good beat is one of my favorite activities but is something\ni don't get to do often enough. i believe learning is a life long\nactivity and i have insatiable curiosity so i like trying new\nthings (i know it's clich but i'll try anything at least once). i\nlike exploring new places and trying new foods. champagne is my\nfavorite alcoholic beverage and one that should never be consumed\nalone. i like meeting and getting to know new people.<br />\n<br />\ni can be very outgoing and extroverted and can be the life of the\nparty although i tend to prefer small settings with really close\nfriends. in matters of the heart, i think good communication is key\nto true intimacy (both emotional and physical) and good\ncommunication comes from respect, honesty and generous listening to\nyour partner something i think i'm very good at. i believe women\nmake great friends (not just lovers).<br />\n<br />\nlife is best when shared with good friends and someone you\nlove.<br />\n<br />\ni am intelligent, fun, and pretty darn cooli'm spending time enjoying the best job i've ever had and trying to\nmake the world a better place in the process, developing my maker\nskills, learning to play the native american flute, and giving\ntrixie the cat lots of love and making sure she has a terrific cat\nlife.making cool electronic stuff, being someone people can count on,\nbeing a great friend, generously listening, mentoring up-and-coming\nfolks at work, and loving those close to me. i'm told i'm a great\nkisser (too much information?) i'm great at solving problems and\ni'm a very good communicator. i'm trying to be good at gardening\nbut i think i need a heck of a lot more practice. i'm very, very\ngood at working with computers, i'm a geek at heart, and have been\nworking with them since before high school and my career has\nrevolved around computing and technology. i'm very good at cooking\nchinese food. i'm also good at drawing and hope some day to be able\nto say i'm really good at drawing manga.i needed an expert opinion for this section so i asked a colleague\nwhat she thought and without hesitation she said: your smile :-)music: rock and roll artists that top my list include the cars,\nthe rolling stones, the alan parsons project, the beach boys, and\nthe beatles. i also like classical, jazz, trance, electronica, and\ngregorian chants (pretty eclectic taste in music, eh?)<br />\n<br />\nmovies: the rocky horror picture show, galaxy quest, the fifth\nelement, primer, the american astronaut, men in black, the\nincredibles, empire records, lord of the rings to name a few.<br />\n<br />\ntv: bones, csi (the original), battlestar galactica, stargate, star\ntrek, house, eureka, doctor who, torchwood.<br />\n<br />\nfood: chinese (not just eating it, i like cooking it), thai, and\nsushi.trixie the cat<br />\na double shot of good espresso in the morning<br />\ninternet access<br />\na challenging job with great people to work with<br />\ngood friends<br />\ntwo tivo's to record my favorite shows.how the web, new social media, and collaboration sites are changing\nthe way people interact and how these news ways of communicating is\nchanging the world is changing. since joining okcupid, i've been\nspending a lot of time thinking about the dynamics of online\ndating.enjoying a glass of red wine or a scotch on the rocks with\nco-workers or decompressing from the work week by relaxing with\ntrixie the cat and watching my favorite shows on my tivo and\nplanning my weekend fun.i really like listening to and dancing to disco!you want to meet and get to know a talented, interesting, sexy, and\nfun guy for friendship and more if we have the right chemistry.white70.0-1executive / management2012-07-01-06-08san carlos, californiadoesn&rsquo;t want kidsstraightlikes dogs and has catsNaNmpisces and it&rsquo;s fun to think aboutnoenglish (fluently)single
5994031NaNNaNsociallyneverworking on masters programreal deal: i am sensitive (sorry, tears included)-\nsilly-serious-sassy-nerdy-sweet-fun-compassionate-reserved-home\nbody-outspoken-tough-adventurous-chill-loyal-passionate.<br />\n<br />\njust moved to sf and i l-o-v-e it :)<br />\nbut i'm "from" the bay--albeit a skip and a jump here and there--\ncanada, iran, bulgaria-- before landing here in my tender\nyears....<br />\n<br />\ni enjoy going to a show/music, festival, movie, museum, strolling,\ndancing, laughing, sitting at home, hiking, meeting new friends and\nexploring the city, coffee shops, cute downtowns/window shopping, a\nglass of vino, hosting a dinner, decorating/interior design/vintage\nstuff, pilates, reading, writing, eating, wit, good spelling, and\ncleanliness.... and....cuddling---- once i'm down for you like that\n:)<br />\n<br />\ni like to travel, am definitely not pretentious but ain't from the\nbackwoods either, not exactly always a glass half full kinda girl\nbut see the best in people, get along with different walks of life,\nlike patience and empathy, i treat others as i would want to be\ntreated, and, as with most ppl, i have my layers and my\ncomplications (but i am generally an open book).<br />\n<br />\ni have been told i keep ppl on their toes a bit.... maybe bc i am\ncaring yet will sass as necessary? ;) dk!! maybe bc our outside\nshell is sometimes at odds with who we are..... recently, a friend\ntold me: you may be 5'2" but you walk like you're 6'2". on the\nother hand, you look like you might be the next "hot girl" but you\nare far from that girl.<br />\n<br />\nwhat else?....i think love is in the details--the nuances,\nthoughtfulness, affection and the giving.<br />\n<br />\ni have had my share of interesting life experiences and cultural\ncomplications. i'm always growing and appreciate like minded folks\nwith good energy.<br />\n<br />\none note: a great must=mature communicator please--listens,\npatience, cares about others' feelings/thoughts, expresses himself,\na giver, enjoys sharing deeper and lighter parts of them self, and\nnot a 'power person'.right now...watching 'celebrity rehab' and commiserating. in\ngeneral... i' m in transition bc i am in school, just moved, got\nout of a relationship a while back (key word: while, so breathe),\nand all around ready to embrace all the changes that are coming my\nway. i would like to hang with cool, fun, sf/peninsula\nprofessionals/brainiacs who despite being busy like me ( 4 year\nridiculous masters program in speech therapy/communicative\ndisorders!) enjoy contact with the opposite sex! ha ha.eating chocolate and doing pilates (usually not back to back)my hair? eyes? height? curves? dk....my caring yet outspoken naturetoo many to name ...<br />\n-a new earth, kite runner, mistress of spices, confessions of zeno,\nblack sexual politics, jung, nietzche, cat on a hot tin roof, brave\nnew world, rumi, poetry by women of color, cat's cradle, a woman,\nthe bell jar, the awakening, invisible man, eat, pray love,\npersepolis....<br />\n-frida, usual suspects, juno, blood diamond, the mist, dawn of the\ndead, life is beautiful, carlito's way, sound of music, love and\nbasketball, quarantine, mystic river, the notebook, good will\nhunting, salt, kite runner, motorcycle diaries, city of god, hitch,\nsyriana, nightmare on elm street<br />\n-adele, sade, tori amos, fleetwood mac, pink floyd, zeppelin,\ntalib, nas, alicia keys, mary j blige, too many to mention\n.....jazz, blues, rock, reggae, r&amp;b, pop.....1. pilates<br />\n2. solo relaxation time (with or without snacks/tv)<br />\n3. good friends and family<br />\n4. dark, quiet room for zzzz's<br />\n5. music<br />\n6a travel and new experiences/activities<br />\n6b great foodhow i am gonna answer this question! ...existential stuff?doing the obvious two things everyone is doing: at home or out\ndoing something fun! (or school related work)--is that i sometimes watch reality tv (even though i used to swear\ni wouldn't) ----correction: i used to before i moved to sf!<br />\n--and that i really want to start volunteering or participating in\na meaningful way that allows me to get out of my own head/own\nskin/give back.<br />\n--i am in a good (but evolving/healing/growing) spiritual place,\nand i really believe in harnessing that energy for self and others\nwho add to your life. i really appreciate a partner or friend who\ncan emanate that compassion back.--if you have the courage to tell me why you checked out my profile\n(once or several times) but did not send a msge ;)<br />\n-better yet, you can explain to me what the rating system\nis....seems a bit of a drive by salute to me. you rated me as 4\nstars but you never want to talk to me? hmmmm :)<br />\n--fun, stable, creative, educated, not an a@@hole,\nintegrity/reliable, single, honest, not vain/self centered, are\npassionate about what matters, are sweet and/or funny, have a\ndecent vocabulary...oh and nice to look at/able to make me salivate\nwouldn't hurt! i am tempted to say sarcastic humor, but then i fear\nthat would be all men in sf ;)<br />\n--wanna have coffee, have a drink, new friends, grab a bite, play\nmind hockey etc<br />\n--you want to watch a futbol game (eurocup)....don't have tv...or\nwanna be my awesome sf tourguide<br />\n--you have depth in your emotions and are conscious. i am turned on\nby accountability and giving. you can still be a bad ass, don't\nworry.<br />\n--you're not scared off or don't take it personally if it happens\nto say "responds selectively" bc frankly, this ish is a part time\njobmiddle eastern62.0-1NaN2012-07-01-00-40san francisco, californiaNaNstraightlikes dogsagnosticismfsagittariusnoenglish (fluently), french, farsisingle
5994159NaNNaNsociallynevergraduated from college/universityvibrant, expressive, caring optimist. i love being with people,\ntraveling the world and sharing the excitement of discovery.<br />\n<br />\ni am a once traditional girl who challenged her world and am\ngrateful that life threw enough curve balls that i have learned to\ncatch the wind!the happiest times have been when life came to me and i ran with\nit-not at it or ahead of it. it sounds cliche but life happens when\nyou don't realize it and it is the joy and appreciation that\ndefines and prevails.<br />\nat this stage of my life, i am trying to let life take its course,\nstop overthinking and believe in surprises!i make an outstanding osso bucco. i am also very creative so i\nthrive on the enjoyment of art, music and design.i am told that people notice my smile, eyes and the way i dress.i am an avid movie watcher and follow the broadway season. movie\nfavorites include: the graduate, room with a view, pride and\nprejudice, an education, la dolce vita, the king's speech. very\neclectic and multi generation music tastes-from opera to the\nbeatles to van morrison to sinatra, dean martin, tony\nbennett.<br />\nhuge fan of diana krall, elvis costello and i do love to remember\nthe 70's.<br />\n<br />\ni have been fortunate to have eaten at wonderful restaurants\nthroughout the world but day to day, i am basically a salad kind of\ngirl.my family, my dog, italy, words and music!writing my book.running with my dog, finishing up the work week, looking forward to\na great weekend.i have a dream to sing at the alconquin in nyc and to live in italy\n-along the cinque terre, working in a gelateria.you are seeking a long term connection of shared joy.NaN62.0-1sales / marketing / biz dev2012-06-12-21-47oakland, californiahas kidsstraighthas dogscatholicism but not too serious about itfcancer and it&rsquo;s fun to think aboutnoenglishsingle
5994224fitmostly anythingoftensometimesworking on college/universityi'm nick.<br />\ni never know what to write about myself.<br />\nand i'm not sure what to do with my hands.<br />\nso i'm from southern california.<br />\ni live in san francisco now.<br />\ni have an aa in something or other and i'll have a ba in cinema\nthis year.<br />\ni also do graphic and web design.<br />\ni'm almost never a jackass.<br />\nitalian and spanish heritage. i'll argue your socks off.<br />\nstones &gt; beatles, but they're both cool.<br />\ndogs are cool. cats are sometimes awesome, but usually a letdown.\n(there's probably a metaphor there, but i'll leave it alone)<br />\ni'll add more later.currently finishing school for film production, emphasis in\ncinematography.<a class="ilink" href="/interests?i=filmmaking">filmmaking</a>,\n<a class="ilink" href="/interests?i=photography">photography</a>,\n<a class="ilink" href="/interests?i=graphic+design">graphic\ndesign</a>, <a class="ilink" href="/interests?i=web%0adesign">web\ndesign</a>, <a class="ilink" href=\n"/interests?i=writing">writing</a>, <a class="ilink" href=\n"/interests?i=eating">eating</a>, etc.dude, i don't know.<strong>movies</strong>:<br />\nhook (the greatest adventure ever!), gladiator, fight club (c'mon,\nevery man loves it), 28 days later (gotta respect a good zombie\nflick), the dark knight, drive, the assassination of jesse james by\nthe coward robert ford, almost famous, the godfather trilogy (even\npart iii), star wars (the good ones), and many many more...<br />\n<br />\n<strong>books</strong>:<br />\nfor whom the bell tolls (hemingway), a moveable feast (hemingway),\na farewell to arms (hemingway), the zahir (paulo coelho), the\nalchemist (paulo coelho), the hitchhiker's guide to the galaxy\n(douglas adams), yes man (danny wallace), etc...<br />\n<br />\n<strong>shows</strong>:<br />\nhow i met your mother, friends, it's always sunny in philadelphia,\nworkaholics, the office, californication, game of thrones,\neastbound &amp; down, mad men, and many more...<br />\n<br />\n<strong>music</strong>:<br />\nwarren zevon, led zeppelin, the rolling stones, motley crue,\nthrice, modest mouse, brand new, blink-182, electric president, 13\n&amp; god, the matches, paolo nutini, any hans zimmer score, any\ndanny elfman score, any cliff martinez soundtrack, and many many\nmore...<br />\n<br />\n<strong>food</strong>:<br />\nall of itiphone<br />\ncontact lenses<br />\nheadphones<br />\ncamera<br />\ntv remote<br />\nbottle openeri do most of my thinking on the bus to/from work. usually about why\nthe seat across from me smells like urine, or if the person sitting\nnext to the emergency exit is really the right one for the job.\nwhen i'm driving i usually daydream about putting petal to metal\nand weaving in and out of traffic because i have to stop a major\ndisaster from happening, or something die hard-ish like that. it\nhasn't happened yet, but i'm still hopeful.bringin' home bacon, or drinking and shakin'!when i was 18 i got a tattoo of waldo somewhere on my body.meh if you made it this far you might as well.white, other72.0-1entertainment / media2012-06-29-11-01san francisco, californiadoesn&rsquo;t have kidsstraightlikes dogs and likes catsagnosticismmleo but it doesn&rsquo;t matternoenglish (fluently)single
5994342averagemostly anythingnot at allnevergraduated from masters programhello! i enjoy traveling, watching movies, and hanging out with\nfriends. my #1 rule for traveling is to go to places where where i\ncan drink the tap water. =p i've been to japan, washington dc, new\nyork, london, paris, china (an exception to rule #1) and many other\nplaces. for the year, i haven't decided yet. maybe toronto and\nmontreal. my taste in movies (and television) fall into three\ngenres: comedies, action, and drama. it doesn't matter if the film\nis in english or sub-titled (i can't stand dubbed), but it has to\nbe well-written. aside from the traveling and movies, i also enjoy\nbroadway shows (4 shows in 5 nights in vegas a couple years ago),\nbay area sports (except the sharks), online gaming, good food, and\nkeeping up with current events.<br />\n<br />\nmy friends would describe me as easy-going, goofy, thoughtful,\nconsistent, honest, and dependable. i can get serious when i have\nto be. overall, i like to think that i lead my life by doing what\nis "right".i'm a civil engineer, who enjoys helping the citizens of san san\nfrancisco.- looking at things objectively<br />\n- getting things done (but others may disagree) =p<br />\n- remaining calm in any situationi'm quiet until i get used to the environment (but isn't that\nnormal?).last book: "game change".<br />\nmovies: bourne series, action, smart comedies (in contrast to\nslapstick), must have a decent plot<br />\nshows: local sports, ncis, good wife, top chef, currently exploring\njapanese dramas<br />\nmusic: koit...<br />\nfood: korean bbq, japanese, chinese, thai, italian, burgers, almost\nanything- iphone<br />\n- friends and family<br />\n- internet<br />\n- bay area sports<br />\n- humor<br />\n- point &amp; shoot cameraaside from work, how to improve my home.out enjoying friendly conversation over dinner.please let me think about this more.we have similar interests.asian71.0100000construction / craftsmanship2012-06-27-23-37south san francisco, californiadoesn&rsquo;t have kidsstraightNaNchristianity but not too serious about itmsagittarius but it doesn&rsquo;t matternoenglish (fluently)single
5994427athleticmostly anythingsociallyoftenworking on college/university"all i have in this world are my balls and my integrity and no one\ncan take either away from you" -momma linda (her daughter and i\nwent to the same nursery)<br />\n<br />\nweed and alcohol are my vices...oh, and the company of womenfollowing my dreams...<br />\n"you got a dream... you gotta protect it. people can't do somethin'\nthemselves, they wanna tell you you can't do it. if you want\nsomethin', go get it. period." -will smith in "pursuit of\nhappyness"listeningit used to be the hair until i mowed it off but i would have to say\nthe dimples ever since i could remember, its always been about\nthose indents in my cheeks. i think its because i do smile more\nthan the average person. not those fake smiles either. smiling is\nall in the eyes.where to begin musically: right now i listen to a lot of mgmt, mike\nposner, above and beyond, drake, the roots, trey songz, usher, bay\nmusic, local artist and anything that will get me to dance. i am\nnot ashamed to admit i am a huge coldplay fan. the killers are\nawesome live. i love hip hop with a message and relevant to my\nlifestyle: guns money and drugs if only my life were that\ninteresting. talib kweli, mos def, common, atmosphere (slug) fill\nmy speakers/headphones mostly.<br />\n<br />\ni will read any book, magazine, online article that has to do with\nthe body and/or mind.<br />\n<br />\ni love to cook and will try anything once when it comes to foodsi'm\nnot familiar with but i consider myself to be a well cultured\nconnoisseur when it comes to eating out.<br />\n<br />\nshows:<br />\n-californication<br />\n-modern family<br />\n-breaking bad<br />\n-weeds<br />\n-anything that can keep me glued to a couch for 24 minutesmusic, family, friends, a basketball, hoop, something to readwhat can i do to make someone chuckle....what i would do on any other day. everydays a friday ..i like walking around in other people's house naked. seriously.\nbodies are beautiful and it makes an awkward situation funny!you are interested and interesting...asian, black73.0-1medicine / health2012-06-23-13-01san francisco, californiadoesn&rsquo;t have kids, but wants themstraightlikes dogs and likes catsagnosticism but not too serious about itmleo and it&rsquo;s fun to think abouttrying to quitenglish (fluently), spanish (poorly), chinese (poorly), korean (poorly), japanese (poorly)single
5994539averageNaNsociallyNaNgraduated from masters programis it odd that having a little "enemy" status with someone, makes\nthem seem more interesting to me?<br />\n<br />\ni'm an extremely socially-graced outcast. my totally awkward\nchildhood surprisingly yielded to something extroverted, thoughtful\nand diplomatic. i'm a nice guy, i love people, i love humanity, and\ni can get pretty angry about all of the above. if i end up the\nloudest guy in the room, i'm never so loud that i cant hear what\nanyone else is saying.<br />\n<br />\nthough i am often inappropriate and desperately unable to pass up a\njoke, no one has ever punched me. i think too much, and talk to\nmuch, but know when to shut the f up.<br />\n<br />\n<em>for the sake of accurate representation</em>, i'm going to\nqualify my "average" body type as a bit of muscle and a bit of fat.\nnote: i have recently become an ebook-reading-cardio-addict. now\nthat i can jog and read oversized print at the same time i can't\nstay away from a treadmill. seriously, 4+ books, 60+ minutes 4+\ntimes a week for 6 weeks and counting.i work with elderly people (psychotherapy and case management) and\ni'm inching into public health (volunteer for now at a men's health\nclinic). studying for my mft license exam. professionally, i have a\npath for sure, and creatively i'm always working things out.\nkeeping my sanity through excessive amounts of cardio. (muffin-top\ngone!)i'm a great bullshitter. i don't know what it is but people just\nplain believe the craziest shit i tell them. i'm a good\nconversationalist (pre-req for bullshitting) - i can talk to anyone\nabout anything. i have a good memory for most things (except names)\nand my brain is a trap for random information. i'm also pretty good\nat ranting and then talking the pitchforks out of the assembling\nmob's hands (because i'm a lover not a riot leader). give me a job\nto do and i'll to it thoughtfully and very well. jack of all\ntrades.either that i am funny/sarcastic, or that i am totally insulting\nfollowed by the realization that i am just a nice guy, who at times\ndoesn't communicate in the most delicate ways.<br />\n<br />\nwhen i am in a reserved mood ... maybe it is my loud laugh? my big\nnose? something i'm totally unaware of?i just read the help by kathryn stockett, sooooooo gooooood! just\nfinished, the time machine by h.g. wells - i think about this book\na lot. currently reading a totally sad true love story, interesting\nbook. some of my faves are the confederacy of dunces, lolita, devil\nin the white city. i am just now becoming a regular reader and i\nlove it!<br />\n<br />\nlove music too many to list ... more later.<br />\nlove movies, see everything i can - some favorites: dr.\nstrangelove, eternal sunshine of a spotless mind, wall-e ... more\nlater.1. family &amp; friends &amp; other humans - interaction<br />\n2. music &amp; movies &amp; books - entertainment<br />\n3. computer &amp; electronics<br />\n4. clean underwear<br />\n5. exercise (with a book)<br />\n6. caffeinesex, myself, other people, how amazing everything is, how fucked up\neverything is, that damn song stuck in my head, whats to eat, whats\nto do, something inappropriate. why can't i stop thinking about\nthings that aren't worth thinking about.out at happy hour with my friends, running into other friends,\nranting about something hardly worth the rant .. or at home.i wish i could cry like holly hunter in broadcast news.if you have a back-bone, an opinion, a sense of humor, want to meet\nface-to-face.white68.0-1medicine / health2012-06-29-00-42san francisco, californiaNaNgaylikes dogs and likes catscatholicism and laughing about itmgemini and it&rsquo;s fun to think aboutsometimesenglishsingle